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Cloud Audit Controls
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<p class='description'><span>Practical governance. This blog is about understanding and addressing risk. Systems and architectures continue to rapidly converge, hiding complexity with additional layers of abstraction. Simplicity is great for operations - as long as risks are understood and appropriately mitigated.</span></p>
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<h2>Pages</h2>
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<a href='https://www.cloudauditcontrols.com/'>Home</a>
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<a href='https://github.com/davischr2/Cloud-Documents'>Downloads</a>
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<a href='http://www.cloudauditcontrols.com/p/requirements-checklist.html'>Solutions Checklist</a>
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<a href='http://www.cloudauditcontrols.com/p/cac.html'>CAC Model 2.0</a>
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<a href='http://www.cloudauditcontrols.com/p/cac-security-model.html'>CAC Model 1.0</a>
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<h2 class='date-header'><span>Wednesday, August 27, 2025</span></h2>

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<a href='https://www.cloudauditcontrols.com/2025/08/preview-nccoe-secure-devsecops.html'>Preview: NCCoE Secure DevSecOps Practices - NIST SP 1800-44A</a>
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<ul class="[&amp;:not(:last-child)_ul]:pb-1 [&amp;:not(:last-child)_ol]:pb-1 list-disc space-y-1.5 pl-7">
<li class="whitespace-normal break-words">Will provide a notional reference model for implementing DevSecOps practices</li>
<li class="whitespace-normal break-words">Intends to emphasize zero trust security architecture integration</li>
<li class="whitespace-normal break-words">Plans to offer practical methodology for organizations seeking to enhance their software security posture</li>
<li class="whitespace-normal break-words">Being developed by NIST's National Cybersecurity Center of Excellence as part of their ongoing cybersecurity initiatives</li></ul><div><p class="whitespace-normal break-words"><strong>Target Audience:</strong> IT professionals, security teams, software developers, and organizational leadership responsible for secure software development practices.</p>
<p class="whitespace-normal break-words"><strong>Expected Outcomes:</strong> The final document aims to outline actionable steps for organizations to begin implementing or improving their DevSecOps capabilities. This may be a future helpful resource for both beginners and those looking to mature their existing practices. It's tied to other initiatives from EOs and has some industry momentum that might not be apparent. It's a rising frustration that I think will see more attention over the next year.&nbsp;</p></div></div>
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<a href='https://www.cloudauditcontrols.com/2025/08/meta-analysis-of-28-ai-security.html'>Meta-analysis of 28 AI Security Frameworks and Guidelines</a>
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<h2 style="text-align: left;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEiQrjrYDYxUAgnl3m91eZ-E8xX1H0eiuBI7v1uwjIkdid_ZBrl1U-lU_ZrN3vwrcJn_dopCCNX5pflQ2Xu10j07xvigqRtCWOE0F-gLEwYjsK6v6ZArjOegi1Yt7LnyOdCKW5hi1lktyKFXcCsab1ra-eay9kJVm-qqbivWAKZvNZi0D6n8jL5Qwr9ExY4" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img alt="28 AI Security Frameworks and Guidelines" data-original-height="2110" data-original-width="4115" height="164" src="https://blogger.googleusercontent.com/img/a/AVvXsEiQrjrYDYxUAgnl3m91eZ-E8xX1H0eiuBI7v1uwjIkdid_ZBrl1U-lU_ZrN3vwrcJn_dopCCNX5pflQ2Xu10j07xvigqRtCWOE0F-gLEwYjsK6v6ZArjOegi1Yt7LnyOdCKW5hi1lktyKFXcCsab1ra-eay9kJVm-qqbivWAKZvNZi0D6n8jL5Qwr9ExY4=w320-h164" title="28 AI Security Frameworks and Guidelines" width="320" /></a></div></h2><h3 style="text-align: left;">Meta-takeaway:&nbsp;28 AI Security Frameworks and Guidelines</h3><p>Doing a quick dive into this... Look at the table and think about what stands out.&nbsp;</p><p>What do you see?</p><p><b>Download it here:&nbsp;</b></p><p><a href="https://github.com/davischr2/Cloud-Documents">https://github.com/davischr2/Cloud-Documents</a></p><p>Here are my quick observations. This table reads less like a body of original work and more like <strong data-end="3759" data-start="3689">a crowd of institutions trying not to be left out of the AI moment</strong>. The motivation mix is clear:</p>

<p data-end="3840" data-start="3794" style="text-align: left;"></p><ul style="text-align: left;"><li><strong data-end="3818" data-start="3794">Fear of being blamed</strong> (if AI causes harm)</li><li><strong data-end="3872" data-start="3843">Fear of being left behind</strong> (if others set the norms)</li><li><strong data-end="3930" data-start="3903">Fear of losing control</strong> (if AI develops outside institutional guardrails)</li></ul><p></p><ul data-end="3982" data-start="3792">
</ul>
<p data-end="4182" data-start="3984">And yet, in that swirl, you can see <strong data-end="4059" data-start="4020">a few truly new constructs emerging</strong><span data-end="4059" data-start="4020">. Consider&nbsp;</span>adversarial threat taxonomies, LLM-specific risks, and the engineering of assurance. That&#8217;s where the real substance is.</p><p data-end="210" data-start="0"></p><h3 style="text-align: left;">1. Everyone wants a piece of the steering wheel</h3>
<p data-end="462" data-start="270" style="text-align: left;"></p><ul style="text-align: left;"><li><strong data-end="296" data-start="270">Multiplicity of bodies</strong>: Governments (EU, US, G7, UN), standards organizations (ISO, NIST), regulators (CISA, ENISA), industry (CSA, OWASP), and even loose communities are all publishing.</li><li>This signals that <strong data-end="544" data-start="483">no one trusts any single authority to &#8220;own&#8221; AI governance</strong>. Everyone wants to shape it to their jurisdiction, sector, or constituency. People like control.</li><li>The table almost reads like a map of <strong data-end="684" data-start="657">regulatory turf-staking</strong>.</li></ul><p></p><ul data-end="687" data-start="268">
</ul><h3 style="text-align: left;">2. Fear is driving much of the activity</h3>
<p data-end="912" data-start="739" style="text-align: left;"></p><ul style="text-align: left;"><li>You see the fingerprints of <strong data-end="783" data-start="767">fear of harm</strong> everywhere: prohibited practices in the EU AI Act, adversarial threats in MITRE ATLAS, &#8220;best practices&#8221; for AI data from CISA.</li><li>Even the voluntary guidelines (e.g., OWASP LLM Top 10, CSA AI Safety) are <strong data-end="1031" data-start="989">mitigations against anticipated misuse</strong>.</li><li>These aren&#8217;t aspirational visions of AI&#8217;s potential. They&#8217;re largely <strong data-end="1128" data-start="1106">defensive measures</strong>. These are a kind of collective bracing for impact. It's not that I think they are wrong... They just don't trust others to do it correctly.</li></ul><p></p><ul data-end="1171" data-start="737">
</ul><h3 style="text-align: left;">3. Originality is thin and echo chambers dominate</h3>
<p data-end="1436" data-start="1229" style="text-align: left;"></p><ul style="text-align: left;"><li>Many of the documents are <strong data-end="1276" data-start="1255">cross-referential</strong>: NIST AI RMF becomes the anchor, ISO drafts map to it, ENISA echoes both, and EU AI Act leans on &#8220;harmonized standards&#8221; that are largely ISO/NIST influenced.</li><li>The &#8220;new&#8221; work is often <strong data-end="1506" data-start="1463">reinterpretation of old risk frameworks</strong> (ISO management systems, NIST RMF, 27k family) with &#8220;AI&#8221; pasted on.</li><li>Genuine innovation is scarcer, but you can see it in things like <strong data-end="1659" data-start="1644">MITRE ATLAS</strong> (a fresh threat taxonomy) and <strong data-end="1710" data-start="1690">OWASP LLM Top 10</strong> (concrete new risks like prompt injection).</li></ul><p></p><ul data-end="1756" data-start="1227">
</ul><h3 style="text-align: left;">4. Regulation vs. implementation gap</h3>
<p data-end="1914" data-start="1805" style="text-align: left;"></p><ul style="text-align: left;"><li><strong data-end="1830" data-start="1805">Regulation-heavy side</strong>: EU AI Act, MITRE policy memos, UNESCO/OECD ethics are all conceptual or legal. This is fine except...</li><li><strong data-end="1946" data-start="1917">Implementation-light side</strong>: Only a few (e.g., CISA/NCSC secure AI dev, OWASP Testing Guide) actually tell engineers <em data-end="2041" data-start="2036">how</em> to build or defend systems.</li><li>This leaves a vacuum: rules are being written faster than usable security engineering practices.</li></ul><p></p><ul data-end="2172" data-start="1803">
</ul><h3 style="text-align: left;">5. Globalization meets fragmentation</h3>
<p data-end="2281" data-start="2221" style="text-align: left;"></p><ul style="text-align: left;"><li>UNESCO, OECD, G7, INASI push for <strong data-end="2278" data-start="2254">global harmonization</strong>.</li><li>But EU AI Act, CISA guidelines, UK Standards Hub all point to <strong data-end="2372" data-start="2346">regional fragmentation</strong>.</li><li>Companies face a world where <strong data-end="2460" data-start="2407">AI is &#8220;global by design, regulated local by law.&#8221;</strong> The burden is harmonizing across conflicting signals.</li></ul><p></p><ul data-end="2516" data-start="2219">
</ul><h3 style="text-align: left;">6. Cultural subtext: fear of &#8220;black box&#8221; systems</h3>
<p data-end="2682" data-start="2577" style="text-align: left;"></p><ul style="text-align: left;"><li>Most guidance (NIST RMF, ISO 42001, AI Act) centers around <strong data-end="2679" data-start="2636">transparency, accountability, oversight</strong>.</li><li>That&#8217;s really a way of saying: &#8220;we don&#8217;t trust opaque algorithms.&#8221;</li><li>The core anxiety isn&#8217;t just data misuse... it&#8217;s <strong data-end="2839" data-start="2801">losing human agency and visibility</strong> when decisions migrate into AI.</li></ul><p></p><ul data-end="2873" data-start="2575">
</ul><h3 style="text-align: left;">7. The rise of &#8220;assurance&#8221; as a currency</h3>
<p data-end="3011" data-start="2926" style="text-align: left;"></p><ul style="text-align: left;"><li>Assurance shows up repeatedly (MITRE AI Assurance, ISO/IEC 25059, CISA guidelines).</li><li>It suggests the world is shifting from just &#8220;secure design&#8221; to <strong data-end="3116" data-start="3077">provable, auditable trustworthiness.</strong>&nbsp;This is what regulators, auditors, and customers want so that they can independently verify trust.</li></ul><p></p><ul data-end="3190" data-start="2924">
</ul><h3 style="text-align: left;">8. Early signs of standardization fatigue</h3><p data-end="4182" data-start="3984">























</p><ul style="text-align: left;"><li>There&#8217;s a lot of <strong data-end="3276" data-start="3261">duplication</strong>. NIST, ENISA, ISO, CSA, OWASP are all publishing lists of &#8220;controls&#8221; and &#8220;practices.&#8221;</li><li>This could create <strong data-end="3407" data-start="3385">compliance theater</strong>: organizations checking boxes against multiple overlapping frameworks without materially improving AI security.</li><li>The challenge will be convergence vs. chaos.</li></ul>
<p data-end="3570" data-start="3524" style="text-align: left;"></p><h3 style="text-align: left;">Included&nbsp;AI Security Frameworks and Guidelines:</h3><p data-end="177" data-start="78"></p><ul style="text-align: left;"><li><strong data-end="86" data-start="78">CISA</strong> (Best Practices Guide for Securing AI Data, Guidelines for Secure AI System Development)</li><li><strong data-end="212" data-start="179">Cloud Security Alliance (CSA)</strong> (AI Safety Initiative)</li><li><strong data-end="248" data-start="239">ENISA</strong> (Multilayer Framework for Good Cybersecurity Practices for AI, Cybersecurity of AI and Standardisation)</li><li><strong data-end="396" data-start="356">European Union / European Commission</strong> (EU AI Act, Guidelines on Prohibited AI Practices)</li><li><strong data-end="477" data-start="451">G7 (Hiroshima Process)</strong> (International Code of Conduct for Organizations Developing Advanced AI Systems)</li><li><strong data-end="619" data-start="562">International Network of AI Safety Institutes (INASI)</strong> (International Network of AI Safety Institutes)</li><li><strong data-end="682" data-start="671">ISO/IEC</strong> (ISO/IEC 42001:2023, ISO/IEC DIS 27090, ISO/IEC 25059:2023)</li><li><strong data-end="755" data-start="746">MITRE</strong> (MITRE ATLAS, A Sensible Regulatory Framework for AI Security, Assuring AI Security &amp; Safety through AI Regulation, AI Assurance Guide)</li><li><strong data-end="903" data-start="895">NIST</strong> (AI Risk Management Framework 1.0, Generative AI Profile, Trustworthy &amp; Responsible AI [AIRC hub])</li><li><strong data-end="1014" data-start="1006">OECD</strong> (Recommendation of the Council on Artificial Intelligence)</li><li><strong data-end="1086" data-start="1077">OWASP</strong> (AI Security &amp; Privacy Guide, Top 10 for LLM Applications, AI Exchange, AI Testing Guide, Securing Agentic Applications Guide 1.0)</li><li><strong data-end="1261" data-start="1221">UK AI Standards Hub (BSI/NPL/Turing)</strong> (AI Standards Hub)</li><li><strong data-end="1294" data-start="1284">UNESCO</strong> (Recommendation on the Ethics of Artificial Intelligence)</li><li><strong data-end="1380" data-start="1356">United Nations / ITU</strong> (Guide to Developing a National Cybersecurity Strategy)</li></ul><p></p><p data-end="4182" data-start="3984">












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<p>Credit to Santiago over at ML.School with his course&nbsp;<a href="https://www.ml.school/">Building AI/ML Systems That Don't Suck</a>&nbsp;for thinking through and sharing this image during his course.&nbsp;</p><p>This is similar to other tradeoffs in business where it's important to shape, temper, and communicate your expectations. What are your priorities? How do you solve the business problem while juggling the quality, speed, and cost of the output?&nbsp;</p><p>Spend the time upfront defining the business problem and the ideal solution.&nbsp;</p><p>The image is self-explanatory.&nbsp;</p><p><br /><a href="https://blogger.googleusercontent.com/img/a/AVvXsEgcKWSpO60xIT4KDEuIUJeya__SoWVFGrdOV2pxck3usAP6w2NoN8qEJVki0u7yVwHhPNaoDiPwA2TWSb3z6KSL7NgjcS6lAKijQ_h4W6LUisMEG3ez7yQPtYdCuKavlaVxEbhSd5dcpdMcV0FwF_GVeRr4p6xxEcCepscb_WlTF2jqY6OSMEs4eXjK-oE" style="margin-left: 1em; margin-right: 1em; text-align: center;"><img alt="" data-original-height="738" data-original-width="1212" height="195" src="https://blogger.googleusercontent.com/img/a/AVvXsEgcKWSpO60xIT4KDEuIUJeya__SoWVFGrdOV2pxck3usAP6w2NoN8qEJVki0u7yVwHhPNaoDiPwA2TWSb3z6KSL7NgjcS6lAKijQ_h4W6LUisMEG3ez7yQPtYdCuKavlaVxEbhSd5dcpdMcV0FwF_GVeRr4p6xxEcCepscb_WlTF2jqY6OSMEs4eXjK-oE" width="320" /></a></p>
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<h2 class='date-header'><span>Wednesday, July 30, 2025</span></h2>

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<a href='https://www.cloudauditcontrols.com/2025/07/ai-for-tech-pros-in-seven-days.html'>AI for Tech Pros in Seven Days: Comprehensive Lesson Plan</a>
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<p>This is just one way to learn these tools. The most important thing isn't that you do everything here. The most important thing is that you start. Do something. Learn something. Move in the right direction. We're not ever looking for perfection. We're looking for incremental mastery of new ideas.&nbsp;</p><p>You've got this.&nbsp;</p><h2 style="text-align: left;">AI for Tech Pros: No-Code Mastery &#8211; Comprehensive Lesson Plan</h2>

<p class="MsoNormal">This creates a comprehensive, self-contained lesson plan
tailored for IT professionals like you&#8212;with years of tech experience but
minimal coding background. The plan emphasizes no-code tools, leverages your IT
intuition (e.g., troubleshooting workflows), and builds practical AI skills for
real-world applications, like automating IT tasks.<o:p></o:p></p>

<p class="MsoNormal">The lesson plan is structured for 7 core days (plus Day 0
orientation), with each day capped at 4 hours to fit busy schedules. It's
achievable over 1-2 weeks, assuming self-paced learning. Total estimated time:
30 hours. Focus on hands-on projects to reinforce concepts and use the pitfalls
to proactively avoid common beginner frustrations.<o:p></o:p></p>

<h2 style="text-align: left;">Approach:</h2>

<ul style="margin-top: 0in;" type="disc">
<li class="MsoNormal" style="mso-list: l14 level1 lfo1; tab-stops: list .5in;"><b>Target
Audience:</b> IT pros with tech experience but little coding&#8212;perfect for
those who've managed systems or networks but want to add AI without
development hurdles.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l14 level1 lfo1; tab-stops: list .5in;"><b>Prerequisites:</b>
Basic computer skills; familiarity with tools like Google Sheets. No
coding required.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l14 level1 lfo1; tab-stops: list .5in;"><b>Goals:</b>
By the end, you'll build and deploy AI prototypes (e.g., agents,
automations, MVPs) applicable to IT work, gaining confidence as an AI
generalist.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l14 level1 lfo1; tab-stops: list .5in;"><b>Materials:</b>
Free-tier tools; a journal in Notion for notes and reflections.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l14 level1 lfo1; tab-stops: list .5in;"><b>Pacing
Tips:</b> Dedicate 4 hours/day; take breaks for testing. If needed, use
optional extensions (1-2 days/week) for deeper practice on complex IT apps
like predictive maintenance.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l14 level1 lfo1; tab-stops: list .5in;"><b>Support:</b>
Simulate "office hours" by reviewing pitfalls and journaling
fixes. Join communities for peer help.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l14 level1 lfo1; tab-stops: list .5in;"><b>Assessment:</b>
Daily assignments build a portfolio; on Day 7, pitch your MVP to yourself.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l14 level1 lfo1; tab-stops: list .5in;"><b>Philosophy:</b>
AI as an extension of your IT toolkit&#8212;practical, no/low-code, and empowering.<o:p></o:p></li>
</ul>

<h2 style="text-align: left;">Day 0: Orientation and Mindset Shift (2 hours)</h2>

<p class="MsoNormal"><b>Focus:</b> Bridge your IT experience to AI&#8212;no code
needed.<br />
<b>Activities:</b> Review the full lesson plan; set personal goals (e.g.,
"Automate my daily IT reports"). Watch intro videos on AI basics to
shift mindset from traditional IT to AI-enhanced workflows. Join no-code
communities for ongoing support.<br />
<b>Resources and Links:</b><o:p></o:p></p>

<ul style="margin-top: 0in;" type="disc">
<li class="MsoNormal" style="mso-list: l16 level1 lfo2; tab-stops: list .5in;">Google
AI Essentials (free intro course, no coding): <a href="https://grow.google/certificates/ai-essentials/" target="_blank">https://grow.google/certificates/ai-essentials/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l16 level1 lfo2; tab-stops: list .5in;">YouTube:
"Become an AI Engineer and build the future!!" (intro to AI
generalist skills): <a href="https://www.youtube.com/shorts/_6jvVAIAsSA" target="_blank">https://www.youtube.com/shorts/_6jvVAIAsSA</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l16 level1 lfo2; tab-stops: list .5in;">X
Profiles: @ai_lab_daily (AI tips and tools).<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l16 level1 lfo2; tab-stops: list .5in;">X
Posts: General AI learning tips: <a href="https://x.com/WordStream/status/1950224913937170478" target="_blank">https://x.com/WordStream/status/1950224913937170478</a>.<br />
<b>Assignment:</b> Create a Notion journal page: Answer "How has IT
prepared me for AI?" and list 3 goals.</li></ul><h2 style="text-align: left;"><b>Common Pitfalls/Gotchas:</b></h2><ul style="margin-top: 0in;" type="disc">
</ul>

<ol start="1" style="margin-top: 0in;" type="1">
<li class="MsoNormal" style="mso-list: l1 level1 lfo3; tab-stops: list .5in;"><b>Overloading
on Tools Too Early:</b> Don't install everything at once&#8212;focus on Day 1
needs first to avoid setup fatigue. (Tip: Prioritize Ollama if your
machine has a GPU for smoother local runs.)<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l1 level1 lfo3; tab-stops: list .5in;"><b>Ignoring
Account Sign-Ups:</b> Free tiers require email verification; delays happen
if you use a work email with strict filters. (Tip: Use a personal Gmail
for quick access.)<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l1 level1 lfo3; tab-stops: list .5in;"><b>Underestimating
Goal Setting:</b> Vague goals lead to scattered focus&#8212;make them specific,
like "Build an AI for IT ticket summaries." (Tip: Revisit your
journal daily.)<o:p></o:p></li>
</ol>

<h2 style="text-align: left;">Day 1: AI Fundamentals and Local Playground (4 hours)</h2>

<p class="MsoNormal"><b>Tailored Twist:</b> Relate LLMs to IT databases&#8212;querying
data without SQL.<br /></p><p class="MsoNormal"><span class="Heading2Char"><span style="line-height: 18.4px;"><b>Steps:<o:p></o:p></b></span></span></p><ol start="1" style="margin-top: 0in;" type="1"></ol><ol start="1" style="margin-top: 0in;" type="1"><li class="MsoNormal" style="mso-list: l17 level1 lfo4; tab-stops: list .5in;"><b>Fundamentals
(1 hour):</b> Learn LLMs and transformers; watch intro resources.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l17 level1 lfo4; tab-stops: list .5in;"><b>Prompt
Engineering (1 hour):</b> Practice techniques in OpenAI Playground.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l17 level1 lfo4; tab-stops: list .5in;"><b>Deploy
Models (1.5 hours):</b> Use Ollama, Msty, and Bolt; test queries.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l17 level1 lfo4; tab-stops: list .5in;"><b>Pipelines
(30 mins):</b> Chain prompts for complex outputs; take a 10-min break if
needed.<br />
<b>Resources and Links:</b><o:p></o:p></li>
</ol>

<ul style="margin-top: 0in;" type="disc">
<li class="MsoNormal" style="mso-list: l29 level1 lfo5; tab-stops: list .5in;">Ollama:
<a href="https://ollama.com/" target="_blank">https://ollama.com/</a>.
Tutorial: <a href="https://ollama.com/docs" target="_blank">https://ollama.com/docs</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l29 level1 lfo5; tab-stops: list .5in;">Msty:
<a href="https://msty.app/" target="_blank">https://msty.app/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l29 level1 lfo5; tab-stops: list .5in;">Bolt:
<a href="https://support.bolt.new/building/intro-bolt" target="_blank">https://support.bolt.new/building/intro-bolt</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l29 level1 lfo5; tab-stops: list .5in;">OpenAI
Playground: <a href="https://platform.openai.com/playground" target="_blank">https://platform.openai.com/playground</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l29 level1 lfo5; tab-stops: list .5in;">YouTube:
"Run AI Models Locally: Ollama Tutorial (Step-by-Step Guide +
WebUI)": <a href="https://www.youtube.com/watch?v=Lb5D892-2HY" target="_blank">https://www.youtube.com/watch?v=Lb5D892-2HY</a>.
Alternative: "Learn Ollama in 15 Minutes": <a href="https://www.youtube.com/watch?v=UtSSMs6ObqY" target="_blank">https://www.youtube.com/watch?v=UtSSMs6ObqY</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l29 level1 lfo5; tab-stops: list .5in;">X
Profiles: @jstepka (Ollama enthusiast), @PicoGPT (local AI tools).<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l29 level1 lfo5; tab-stops: list .5in;">X
Posts: Tutorial on local RAG with Ollama: <a href="https://x.com/atef_ataya/status/1949420780535558438" target="_blank">https://x.com/atef_ataya/status/1949420780535558438</a>.
Tips on GPU-accelerated Ollama: <a href="https://x.com/Marktechpost/status/1948987763375964413" target="_blank">https://x.com/Marktechpost/status/1948987763375964413</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l29 level1 lfo5; tab-stops: list .5in;">Additional:
AI for Everyone (Coursera, non-technical): <a href="https://www.coursera.org/learn/ai-for-everyone" target="_blank">https://www.coursera.org/learn/ai-for-everyone</a>.<br />
<b>Assignment:</b> 5 custom prompts; local query on a personal topic
(e.g., "Summarize an IT report").<o:p></o:p></li>
</ul>

<h2 style="text-align: left;">Common Pitfalls/Gotchas:</h2>

<ol start="1" style="margin-top: 0in;" type="1">
<li class="MsoNormal" style="mso-list: l6 level1 lfo6; tab-stops: list .5in;"><b>Hardware
Mismatch for Local Models:</b> Ollama may run slow on older CPUs&#8212;expect
longer load times if no GPU. (Tip: Test with small models like
"llama3:8b" first; switch to cloud if needed.)<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l6 level1 lfo6; tab-stops: list .5in;"><b>Poor
Prompting Habits:</b> Vague prompts yield junk outputs, like asking
"Explain AI" without context. (Tip: Always specify role, format,
and examples&#8212;e.g., "As an IT expert, explain LLMs in bullet
points.")<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l6 level1 lfo6; tab-stops: list .5in;"><b>Installation
Errors:</b> Bolt or Msty might conflict with antivirus software. (Tip:
Temporarily disable security during install; check tool forums for
OS-specific fixes.)<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l6 level1 lfo6; tab-stops: list .5in;"><b>Forgetting
Privacy:</b> Local runs are great for sensitive IT data, but default to
cloud for quick tests. (Tip: Avoid uploading proprietary info to OpenAI.)<o:p></o:p></li>
</ol>

<h2 style="text-align: left;">Day 2: Media Generation and Clones (4 hours)</h2>

<p class="MsoNormal"><b>Tailored Twist:</b> Use for IT visuals (e.g., generate
diagrams for reports).<br /></p><p class="MsoNormal"><span class="Heading2Char"><span style="line-height: 18.4px;"><b>Steps:<o:p></o:p></b></span></span></p><ol start="1" style="margin-top: 0in;" type="1"></ol><ol start="1" style="margin-top: 0in;" type="1"><li class="MsoNormal" style="mso-list: l3 level1 lfo7; tab-stops: list .5in;"><b>Images
(1 hour):</b> Prompt and refine in Midjourney.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l3 level1 lfo7; tab-stops: list .5in;"><b>Videos
(1 hour):</b> Animate and edit in Runway and Veed.io.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l3 level1 lfo7; tab-stops: list .5in;"><b>Voice
Cloning (1 hour):</b> Use ElevenLabs; test outputs.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l3 level1 lfo7; tab-stops: list .5in;"><b>Integration
(1 hour):</b> Combine for a full clone; include short breaks between
tests.<br />
<b>Resources and Links:</b><o:p></o:p></li>
</ol>

<ul style="margin-top: 0in;" type="disc">
<li class="MsoNormal" style="mso-list: l12 level1 lfo8; tab-stops: list .5in;">Midjourney:
<a href="https://www.midjourney.com/" target="_blank">https://www.midjourney.com/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l12 level1 lfo8; tab-stops: list .5in;">Runway:
<a href="https://runwayml.com/" target="_blank">https://runwayml.com/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l12 level1 lfo8; tab-stops: list .5in;">ElevenLabs:
<a href="https://elevenlabs.io/" target="_blank">https://elevenlabs.io/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l12 level1 lfo8; tab-stops: list .5in;">Veed.io:
<a href="https://www.veed.io/" target="_blank">https://www.veed.io/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l12 level1 lfo8; tab-stops: list .5in;">YouTube:
"Midjourney AI Tutorial 2025 - Beginner to Advanced Course": <a href="https://www.youtube.com/watch?v=877HAXmKwwM" target="_blank">https://www.youtube.com/watch?v=877HAXmKwwM</a>.
"The ULTIMATE Beginners Guide to Midjourney in 2025": <a href="https://www.youtube.com/watch?v=vUj4VNXXC1c" target="_blank">https://www.youtube.com/watch?v=vUj4VNXXC1c</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l12 level1 lfo8; tab-stops: list .5in;">X
Profiles: @timagine_ai (Midjourney coach), @powerfulprompts (prompt
sharing).<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l12 level1 lfo8; tab-stops: list .5in;">X
Posts: Tips on AI images with Midjourney: <a href="https://x.com/WordStream/status/1950224913937170478" target="_blank">https://x.com/WordStream/status/1950224913937170478</a>.
Prompt ideas: <a href="https://x.com/ai_lab_daily/status/1950265450199470576" target="_blank">https://x.com/ai_lab_daily/status/1950265450199470576</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l12 level1 lfo8; tab-stops: list .5in;">Additional:
Udemy zero-code AI projects: Search for "Modern Artificial
Intelligence with Zero Coding" on <a href="https://www.udemy.com/" target="_blank">https://www.udemy.com/</a>.<br />
<b>Assignment:</b> 30-sec clone video (e.g., IT tutorial avatar);
experiment with variations.<o:p></o:p></li>
</ul>

<h2>Common Pitfalls/Gotchas:<o:p></o:p></h2>

<ol start="1" style="margin-top: 0in;" type="1">
<li class="MsoNormal" style="mso-list: l21 level1 lfo9; tab-stops: list .5in;"><b>Discord
Overwhelm for Midjourney:</b> As an IT pro, you might skip the bot
commands&#8212;prompts fail without "/imagine". (Tip: Watch a 5-min
Discord tutorial; start in a private server.)<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l21 level1 lfo9; tab-stops: list .5in;"><b>File
Size Limits:</b> Uploading large audio for ElevenLabs cloning hits
free-tier caps quickly. (Tip: Trim samples to 30 seconds; use low-res for
tests.)<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l21 level1 lfo9; tab-stops: list .5in;"><b>Inconsistent
Outputs:</b> AI media can vary wildly&#8212;e.g., clones sounding robotic if
prompts lack detail. (Tip: Refine with specifics like "Natural,
professional tone with pauses.")<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l21 level1 lfo9; tab-stops: list .5in;"><b>Integration
Glitches:</b> Veed.io exports may not play well with other tools. (Tip:
Export in MP4; test compatibility early.)<o:p></o:p></li>
</ol>

<h2 style="text-align: left;">Day 3: Automations for IT Workflows (4 hours)</h2>

<p class="MsoNormal"><b>Tailored Twist:</b> Build expense trackers as
"ticket automators" using your IT flow knowledge; extend to
predictive IT tasks like ticket forecasting.<br /></p><p class="MsoNormal"><span class="Heading2Char"><span style="line-height: 18.4px;"><b>Steps:<o:p></o:p></b></span></span></p><ol start="1" style="margin-top: 0in;" type="1"></ol><ol start="1" style="margin-top: 0in;" type="1"><li class="MsoNormal" style="mso-list: l26 level1 lfo10; tab-stops: list .5in;"><b>Intro
(45 mins):</b> Triggers and actions overview.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l26 level1 lfo10; tab-stops: list .5in;"><b>Setup
(1 hour):</b> Create n8n workflow; compare with Zapier.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l26 level1 lfo10; tab-stops: list .5in;"><b>Build
Tracker (1.5 hours):</b> Integrate AI for categorization using Make, Tally,
and Akkio for predictions (e.g., forecast IT downtime).<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l26 level1 lfo10; tab-stops: list .5in;"><b>Modules
(45 mins):</b> Explore advanced features like loops; pause for testing.<br />
<b>Resources and Links:</b><o:p></o:p></li>
</ol>

<ul style="margin-top: 0in;" type="disc">
<li class="MsoNormal" style="mso-list: l25 level1 lfo11; tab-stops: list .5in;">n8n:
<a href="https://n8n.io/" target="_blank">https://n8n.io/</a>. Tutorial: <a href="https://docs.n8n.io/advanced-ai/intro-tutorial/" target="_blank">https://docs.n8n.io/advanced-ai/intro-tutorial/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l25 level1 lfo11; tab-stops: list .5in;">Zapier:
<a href="https://zapier.com/" target="_blank">https://zapier.com/</a>.
Make: <a href="https://www.make.com/" target="_blank">https://www.make.com/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l25 level1 lfo11; tab-stops: list .5in;">Tally:
<a href="https://tally.so/" target="_blank">https://tally.so/</a>. Akkio: <a href="https://www.akkio.com/" target="_blank">https://www.akkio.com/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l25 level1 lfo11; tab-stops: list .5in;">YouTube:
"How to Build AI Automations for FREE (Step-by-Step)": <a href="https://www.youtube.com/watch?v=Fy1UCBcgF2o" target="_blank">https://www.youtube.com/watch?v=Fy1UCBcgF2o</a>.
"N8N FULL COURSE 6 HOURS": <a href="https://www.youtube.com/watch?v=2GZ2SNXWK-c" target="_blank">https://www.youtube.com/watch?v=2GZ2SNXWK-c</a>.
2025 Update: "How to Build a Local AI Agent With n8n (NO
CODE!)": <a href="https://www.youtube.com/watch?v=qqjzohCle48" target="_blank">https://www.youtube.com/watch?v=qqjzohCle48</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l25 level1 lfo11; tab-stops: list .5in;">X
Profiles: @n8n_io (official), @LucasAutomation (n8n tips).<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l25 level1 lfo11; tab-stops: list .5in;">X
Posts: Automation tips: <a href="https://x.com/alenbaby_/status/1950153104764060021" target="_blank">https://x.com/alenbaby_/status/1950153104764060021</a>.
Lead capture tutorial: <a href="https://x.com/ogurbych/status/1950302536193495234" target="_blank">https://x.com/ogurbych/status/1950302536193495234</a>.<br />
<b>Assignment:</b> Build a second automation (e.g., IT ticket forecasting
with Akkio); document with screenshots.<o:p></o:p></li>
</ul>

<h2 style="text-align: left;">Common Pitfalls/Gotchas:</h2>

<ol start="1" style="margin-top: 0in;" type="1">
<li class="MsoNormal" style="mso-list: l11 level1 lfo12; tab-stops: list .5in;"><b>Connection
Failures:</b> n8n/Zapier integrations break if API keys expire or
permissions are wrong&#8212;common in IT setups. (Tip: Double-check OAuth during
setup; refresh tokens if errors occur.)<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l11 level1 lfo12; tab-stops: list .5in;"><b>Over-Automating
Early:</b> Trying complex flows before basics leads to loops that crash.
(Tip: Start with 2-3 nodes; test incrementally, like in IT debugging.)<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l11 level1 lfo12; tab-stops: list .5in;"><b>Data
Privacy Oversights:</b> Automating with Google Sheets shares data&#8212;avoid
sensitive IT info. (Tip: Use anonymous test data; enable 2FA on accounts.)<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l11 level1 lfo12; tab-stops: list .5in;"><b>Free-Tier
Throttling:</b> Zapier limits zap runs; exceed and workflows pause. (Tip:
Monitor usage in the dashboard; opt for Make for more generous limits.)<o:p></o:p></li>
</ol>

<h2 style="text-align: left;">Day 4: Building AI Agents (4 hours)</h2>

<p class="MsoNormal"><b>Tailored Twist:</b> Agents as "smart
assistants" for IT tasks (e.g., research troubleshooting or predictive
alerts).<br /></p><p class="MsoNormal"><span class="Heading2Char"><span style="line-height: 18.4px;"><b>Steps:<o:p></o:p></b></span></span></p><ol start="1" style="margin-top: 0in;" type="1"></ol><ol start="1" style="margin-top: 0in;" type="1"><li class="MsoNormal" style="mso-list: l18 level1 lfo13; tab-stops: list .5in;"><b>Basics
(1 hour):</b> Agents and autonomy concepts.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l18 level1 lfo13; tab-stops: list .5in;"><b>Setup
(1 hour):</b> Configure tools in LangChain and AutoGPT.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l18 level1 lfo13; tab-stops: list .5in;"><b>Build
(1.5 hours):</b> Research agent with multi-steps using CreateAI,
AgentCloud, and Lindy AI for agentic workflows.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l18 level1 lfo13; tab-stops: list .5in;"><b>Refine
(30 mins):</b> Add memory and testing; short break for debugging.<br />
<b>Resources and Links:</b><o:p></o:p></li>
</ol>

<ul style="margin-top: 0in;" type="disc">
<li class="MsoNormal" style="mso-list: l30 level1 lfo14; tab-stops: list .5in;">LangChain:
<a href="https://www.langchain.com/" target="_blank">https://www.langchain.com/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l30 level1 lfo14; tab-stops: list .5in;">AutoGPT:
<a href="https://agpt.co/" target="_blank">https://agpt.co/</a>. CreateAI:
<a href="https://create.ai/" target="_blank">https://create.ai/</a>.
AgentCloud: <a href="https://www.agentcloud.dev/" target="_blank">https://www.agentcloud.dev/</a>.
Lindy AI: <a href="https://www.lindy.ai/" target="_blank">https://www.lindy.ai/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l30 level1 lfo14; tab-stops: list .5in;">YouTube:
"LangChain Agents in 2025 | Full Tutorial for v0.3": <a href="https://www.youtube.com/watch?v=Gi7nqB37WEY" target="_blank">https://www.youtube.com/watch?v=Gi7nqB37WEY</a>.
"LangChain Agents: Simply Explained!": <a href="https://www.youtube.com/watch?v=Xi9Ui-9qcPw" target="_blank">https://www.youtube.com/watch?v=Xi9Ui-9qcPw</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l30 level1 lfo14; tab-stops: list .5in;">X
Profiles: @LangChainAI (official), @krsnalyst (LangChain tips).<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l30 level1 lfo14; tab-stops: list .5in;">X
Posts: Agent tutorial: <a href="https://x.com/victor_explore/status/1950035554009289086" target="_blank">https://x.com/victor_explore/status/1950035554009289086</a>.
Tool-calling agents guide: <a href="https://x.com/Marktechpost/status/1948522153030418544" target="_blank">https://x.com/Marktechpost/status/1948522153030418544</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l30 level1 lfo14; tab-stops: list .5in;">Additional:
MIT No Code AI Certificate insights: <a href="https://professional.mit.edu/course-catalog/no-code-ai-and-machine-learning-delivering-business-value" target="_blank">https://professional.mit.edu/course-catalog/no-code-ai-and-machine-learning-delivering-business-value</a>.<br />
<b>Assignment:</b> Build an agent for a practical IT task (e.g.,
"Research network error fixes with Lindy AI"); log outputs.<o:p></o:p></li>
</ul>

<h2 style="text-align: left;">Common Pitfalls/Gotchas:</h2>

<ol start="1" style="margin-top: 0in;" type="1">
<li class="MsoNormal" style="mso-list: l27 level1 lfo15; tab-stops: list .5in;"><b>Tool
Overload:</b> LangChain's no-code mode still feels
"code-y"&#8212;non-coders skip dependencies. (Tip: Use pre-built
templates; focus on AutoGPT for simpler starts.)<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l27 level1 lfo15; tab-stops: list .5in;"><b>Infinite
Loops:</b> Agents can loop on tasks if prompts aren't bounded, eating API
credits. (Tip: Add "Stop after 5 steps" in instructions; monitor
runs closely.)<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l27 level1 lfo15; tab-stops: list .5in;"><b>Memory
Mishaps:</b> Forgetting to enable agent memory leads to repetitive
outputs. (Tip: Test with multi-turn queries; relate to IT caching
concepts.)<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l27 level1 lfo15; tab-stops: list .5in;"><b>API
Rate Limits:</b> CreateAI/AgentCloud hits limits fast in free mode. (Tip:
Space out tests; use local Ollama integration for offline practice.)<o:p></o:p></li>
</ol>

<h2 style="text-align: left;">Day 5: Advanced Integrations with MCPs (4 hours)</h2>

<p class="MsoNormal"><b>Tailored Twist:</b> MCPs for data fetching, like pulling
IT logs into AI for analysis.<br /></p><p class="MsoNormal"><span class="Heading2Char"><span style="line-height: 18.4px;"><b>Steps:<o:p></o:p></b></span></span></p><ol start="1" style="margin-top: 0in;" type="1"></ol><ol start="1" style="margin-top: 0in;" type="1"><li class="MsoNormal" style="mso-list: l28 level1 lfo16; tab-stops: list .5in;"><b>Intro
(1 hour):</b> MCP concepts from docs.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l28 level1 lfo16; tab-stops: list .5in;"><b>Build
(1 hour):</b> Personas in Claude and Perplexity.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l28 level1 lfo16; tab-stops: list .5in;"><b>Advanced
(1.5 hours):</b> Micro apps and servers with Apify, Kite, VAPI.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l28 level1 lfo16; tab-stops: list .5in;"><b>Test
(30 mins):</b> Generate a stylized report; break for verification.<br />
<b>Resources and Links:</b><o:p></o:p></li>
</ol>

<ul style="margin-top: 0in;" type="disc">
<li class="MsoNormal" style="mso-list: l0 level1 lfo17; tab-stops: list .5in;">MCP
Docs: <a href="https://modelcontextprotocol.io/introduction" target="_blank">https://modelcontextprotocol.io/introduction</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l0 level1 lfo17; tab-stops: list .5in;">Claude:
<a href="https://claude.ai/" target="_blank">https://claude.ai/</a>.
Perplexity: <a href="https://www.perplexity.ai/" target="_blank">https://www.perplexity.ai/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l0 level1 lfo17; tab-stops: list .5in;">Apify:
<a href="https://apify.com/" target="_blank">https://apify.com/</a>. Kite:
<a href="https://gokite.ai/" target="_blank">https://gokite.ai/</a>. VAPI:
<a href="https://vapi.ai/" target="_blank">https://vapi.ai/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l0 level1 lfo17; tab-stops: list .5in;">YouTube:
"Claude Code MCP: How to Add MCP Servers (Complete Guide)": <a href="https://www.youtube.com/watch?v=DfWHX7kszQI" target="_blank">https://www.youtube.com/watch?v=DfWHX7kszQI</a>.
"Build A Claude MCP Agent That Does Everything!": <a href="https://www.youtube.com/watch?v=bATMtzNoap4" target="_blank">https://www.youtube.com/watch?v=bATMtzNoap4</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l0 level1 lfo17; tab-stops: list .5in;">X
Profiles: @AnthropicAI (official), @claudeai (Claude assistant).<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l0 level1 lfo17; tab-stops: list .5in;">X
Posts: MCP server tutorial: <a href="https://x.com/alexchristou_/status/1949870632524533939" target="_blank">https://x.com/alexchristou_/status/1949870632524533939</a>.
Node.js MCP tips: <a href="https://x.com/cristopher_devs/status/1949083279597932850" target="_blank">https://x.com/cristopher_devs/status/1949083279597932850</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l0 level1 lfo17; tab-stops: list .5in;">Additional:
Elements of AI (free basics course): <a href="https://www.elementsofai.com/" target="_blank">https://www.elementsofai.com/</a>.<br />
<b>Assignment:</b> MCP for generating content from files (e.g., IT log
analysis); test personas.<o:p></o:p></li>
</ul>

<h2 style="text-align: left;">Common Pitfalls/Gotchas:</h2>

<ol start="1" style="margin-top: 0in;" type="1">
<li class="MsoNormal" style="mso-list: l13 level1 lfo18; tab-stops: list .5in;"><b>Context
Overload:</b> Uploading too much data to Claude crashes sessions&#8212;common
for IT folks with big files. (Tip: Chunk data; start with small tests.)<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l13 level1 lfo18; tab-stops: list .5in;"><b>Misconfigured
Servers:</b> MCP servers fail if ports conflict with IT firewalls. (Tip:
Use default settings; check tool docs for port tweaks.)<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l13 level1 lfo18; tab-stops: list .5in;"><b>Persona
Inconsistencies:</b> Vague MCP definitions lead to off-topic responses.
(Tip: Define strict roles, like "IT Analyst summarizing logs.")<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l13 level1 lfo18; tab-stops: list .5in;"><b>Scraping
Limits:</b> Apify hits rate limits on web data. (Tip: Use sparingly; cache
results in Notion for reuse.)<o:p></o:p></li>
</ol>

<h2 style="text-align: left;">Day 6: Voice Agents and Tech Deep Dive (4 hours)</h2>

<p class="MsoNormal"><b>Tailored Twist:</b> Voice bots for IT support (e.g.,
querying knowledge bases hands-free or alerting on predictions).<br /></p><p class="MsoNormal"><span class="Heading2Char"><span style="line-height: 18.4px;"><b>Steps:<o:p></o:p></b></span></span></p><ol start="1" style="margin-top: 0in;" type="1"></ol><ol start="1" style="margin-top: 0in;" type="1"><li class="MsoNormal" style="mso-list: l23 level1 lfo19; tab-stops: list .5in;"><b>Tech
101 (45 mins):</b> APIs and embeddings overview.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l23 level1 lfo19; tab-stops: list .5in;"><b>Basics
(1 hour):</b> VAPI setup with advanced prompting; incorporate CodeLlama.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l23 level1 lfo19; tab-stops: list .5in;"><b>Build
(1.5 hours):</b> Bot with transcription via Whisper and functions.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l23 level1 lfo19; tab-stops: list .5in;"><b>Deploy
(45 mins):</b> Test and refine conversations; take breaks between calls.<br />
<b>Resources and Links:</b><o:p></o:p></li>
</ol>

<ul style="margin-top: 0in;" type="disc">
<li class="MsoNormal" style="mso-list: l7 level1 lfo20; tab-stops: list .5in;">VAPI:
<a href="https://vapi.ai/" target="_blank">https://vapi.ai/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l7 level1 lfo20; tab-stops: list .5in;">Whisper:
<a href="https://openai.com/index/whisper/" target="_blank">https://openai.com/index/whisper/</a>.
CodeLlama: <a href="https://ai.meta.com/blog/code-llama-large-language-model-coding/" target="_blank">https://ai.meta.com/blog/code-llama-large-language-model-coding/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l7 level1 lfo20; tab-stops: list .5in;">YouTube:
"Build a Voice Agent in 15 Minutes Using VAPI (Easiest
Tutorial)": <a href="https://www.youtube.com/watch?v=VNdF3B6-tyQ" target="_blank">https://www.youtube.com/watch?v=VNdF3B6-tyQ</a>. "How
to build AI voice agents with Vapi (Full course)": <a href="https://www.youtube.com/watch?v=qUQLbPWxbdk" target="_blank">https://www.youtube.com/watch?v=qUQLbPWxbdk</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l7 level1 lfo20; tab-stops: list .5in;">X
Profiles: @Vapi_AI (official), @jordan_dearsley (co-founder).<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l7 level1 lfo20; tab-stops: list .5in;">X
Posts: Voice agent tutorial: <a href="https://x.com/tomg_ai/status/1935770536103063637" target="_blank">https://x.com/tomg_ai/status/1935770536103063637</a>.
No-show reduction tips: <a href="https://x.com/shreyas007_raj/status/1928434615133384709" target="_blank">https://x.com/shreyas007_raj/status/1928434615133384709</a>.<br />
<b>Assignment:</b> Build a scheduler voice agent (e.g., for IT meetings
with predictive alerts); record tests.<o:p></o:p></li>
</ul>

<h2 style="text-align: left;">Common Pitfalls/Gotchas:</h2>

<ol start="1" style="margin-top: 0in;" type="1">
<li class="MsoNormal" style="mso-list: l8 level1 lfo21; tab-stops: list .5in;"><b>Audio
Quality Issues:</b> Poor mic input makes Whisper transcription
inaccurate&#8212;echoes your IT audio troubleshooting. (Tip: Use a quiet room;
test with clear speech.)<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l8 level1 lfo21; tab-stops: list .5in;"><b>Prompt
Latency:</b> Overly complex prompts slow VAPI responses. (Tip: Keep system
prompts under 200 words; optimize like IT query optimization.)<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l8 level1 lfo21; tab-stops: list .5in;"><b>Integration
Gaps:</b> CodeLlama for meta-prompting fails without proper imports (even
no-code). (Tip: Copy from tutorials; fallback to basic prompting.)<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l8 level1 lfo21; tab-stops: list .5in;"><b>Free-Tier
Call Limits:</b> VAPI caps voice minutes quickly. (Tip: Script short
tests; record offline for practice.)<o:p></o:p></li>
</ol>

<h2 style="text-align: left;">Day 7: MVP Build and Capstone (4 hours)</h2>

<p class="MsoNormal"><b>Tailored Twist:</b> Build an IT-focused MVP (e.g.,
automated dashboard with predictions).<br /></p><p class="MsoNormal"><span class="Heading2Char"><span style="line-height: 18.4px;"><b>Steps:<o:p></o:p></b></span></span></p><ol start="1" style="margin-top: 0in;" type="1"></ol><ol start="1" style="margin-top: 0in;" type="1"><li class="MsoNormal" style="mso-list: l22 level1 lfo22; tab-stops: list .5in;"><b>Ideate
(45 mins):</b> Brainstorm ideas.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l22 level1 lfo22; tab-stops: list .5in;"><b>Design
(1 hour):</b> Sketch in Framer.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l22 level1 lfo22; tab-stops: list .5in;"><b>Build
Jerry (1 hour):</b> Agent with embeddings using Softr and Tally.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l22 level1 lfo22; tab-stops: list .5in;"><b>MVP
and Ship (1.15 hours):</b> Automate features with Bubble and Make; deploy
and demo. Complete self-certification (e.g., Google AI Essentials badge).<br />
<b>Resources and Links:</b><o:p></o:p></li>
</ol>

<ul style="margin-top: 0in;" type="disc">
<li class="MsoNormal" style="mso-list: l15 level1 lfo23; tab-stops: list .5in;">Bubble:
<a href="https://bubble.io/" target="_blank">https://bubble.io/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l15 level1 lfo23; tab-stops: list .5in;">Softr:
<a href="https://www.softr.io/" target="_blank">https://www.softr.io/</a>.
Framer: <a href="https://www.framer.com/" target="_blank">https://www.framer.com/</a>.
Tally: <a href="https://tally.so/" target="_blank">https://tally.so/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l15 level1 lfo23; tab-stops: list .5in;">Make:
<a href="https://www.make.com/" target="_blank">https://www.make.com/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l15 level1 lfo23; tab-stops: list .5in;">YouTube:
"Complete Bubble.io Course for Beginners: Build an App in 2025":
<a href="https://www.youtube.com/watch?v=6N5Gny4YlbU" target="_blank">https://www.youtube.com/watch?v=6N5Gny4YlbU</a>.
"How to build a Bubble app FAST using AI": <a href="https://www.youtube.com/watch?v=mvmUOB0IuFA" target="_blank">https://www.youtube.com/watch?v=mvmUOB0IuFA</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l15 level1 lfo23; tab-stops: list .5in;">X
Profiles: @WillLovesNoCode (Bubble expert), @NoCodeNeil (no-code dev).<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l15 level1 lfo23; tab-stops: list .5in;">X
Posts: Bubble + Zapier tips: <a href="https://x.com/skrrr1109/status/1942858716233228724" target="_blank">https://x.com/skrrr1109/status/1942858716233228724</a>.
Pagination tutorial: <a href="https://x.com/CoachingNoCode/status/1937903616112906706" target="_blank">https://x.com/CoachingNoCode/status/1937903616112906706</a>.<br />
<b>Assignment:</b> Deploy MVP; prepare a 1-min self-pitch on how it
applies to your IT work. Earn a badge via Google AI Essentials.<o:p></o:p></li>
</ul>

<h2 style="text-align: left;">Common Pitfalls/Gotchas:</h2>

<ol start="1" style="margin-top: 0in;" type="1">
<li class="MsoNormal" style="mso-list: l2 level1 lfo24; tab-stops: list .5in;"><b>Scope
Creep:</b> Adding too many features mid-build crashes no-code apps like
Bubble. (Tip: Stick to 3 core functions; iterate post-MVP.)<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l2 level1 lfo24; tab-stops: list .5in;"><b>Deployment
Hiccups:</b> Softr/Framer previews work but live deploys fail on custom
domains. (Tip: Use free subdomains; test links immediately.)<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l2 level1 lfo24; tab-stops: list .5in;"><b>Embedding
Overkill:</b> Misusing vector embeddings bogs down performance. (Tip: Only
add if needed for search; keep simple for your first MVP.)<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l2 level1 lfo24; tab-stops: list .5in;"><b>Pitch
Neglect:</b> Forgetting to document makes reflection hard. (Tip: Record a
1-min video; tie back to IT goals.)<o:p></o:p></li>
</ol>

<h2 style="text-align: left;">Additional Learning Resources</h2>

<p class="MsoNormal">To continue your journey beyond this course, here's an
updated, curated list of resources focused on no-code and low-code AI for IT
professionals, with an added emphasis on code-based tools integrated with
Visual Studio Code (VS Code). These resources extend the no-code theme of the
course while providing a gradual bridge to low-code and code-based AI
development, tailored for IT pros with minimal coding experience but strong
tech intuition. Prioritize based on your goals&#8212;start with no-code/low-code for
immediate wins, then explore VS Code tools for advanced projects. All resources
are selected for relevance to 2025 trends (e.g., agentic AI, predictive
analytics) and accessibility (free or freemium tiers).<o:p></o:p></p>

<h2 style="text-align: left;">No-Code Tools (2025 Recommendations)</h2>

<p class="MsoNormal">These build on course tools for IT applications like
predictive analytics, automation, and app building. Free tiers available; focus
on drag-and-drop interfaces.<o:p></o:p></p>

<ul style="margin-top: 0in;" type="disc">
<li class="MsoNormal" style="mso-list: l24 level1 lfo25; tab-stops: list .5in;"><b>Akkio</b>:
No-code ML for predictions (e.g., IT ticket forecasting): <a href="https://www.akkio.com/" target="_blank">https://www.akkio.com/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l24 level1 lfo25; tab-stops: list .5in;"><b>Lindy
AI</b>: Agentic workflows for automations (e.g., IT alerts): <a href="https://www.lindy.ai/" target="_blank">https://www.lindy.ai/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l24 level1 lfo25; tab-stops: list .5in;"><b>Knack</b>:
No-code AI/ML for databases and apps (e.g., IT inventory management): <a href="https://knack.com/" target="_blank">https://knack.com/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l24 level1 lfo25; tab-stops: list .5in;"><b>Synthesia</b>:
AI video generation for IT training content: <a href="https://www.synthesia.io/" target="_blank">https://www.synthesia.io/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l24 level1 lfo25; tab-stops: list .5in;"><b>DhiWise</b>:
No-code AI app builders for rapid prototyping: <a href="https://www.dhiwise.com/" target="_blank">https://www.dhiwise.com/</a>.<o:p></o:p></li>
</ul>

<h2 style="text-align: left;">Low-Code Tools</h2>

<p class="MsoNormal">These offer visual interfaces with minimal coding, ideal for
IT pros transitioning from no-code to light scripting, often compatible with VS
Code for configuration.<o:p></o:p></p>

<ul style="margin-top: 0in;" type="disc">
<li class="MsoNormal" style="mso-list: l19 level1 lfo26; tab-stops: list .5in;"><b>AppGyver</b>:
Low-code platform for building apps with AI integrations (e.g., IT
dashboards): <a href="https://www.appgyver.com/" target="_blank">https://www.appgyver.com/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l19 level1 lfo26; tab-stops: list .5in;"><b>OutSystems</b>:
Low-code for enterprise IT apps with AI (e.g., workflow automation): <a href="https://www.outsystems.com/" target="_blank">https://www.outsystems.com/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l19 level1 lfo26; tab-stops: list .5in;"><b>Mendix</b>:
Low-code for rapid app development, supports AI plugins: <a href="https://www.mendix.com/" target="_blank">https://www.mendix.com/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l19 level1 lfo26; tab-stops: list .5in;"><b>Microsoft
Power Automate</b>: Low-code automation for IT tasks (e.g., ticket
routing): <a href="https://powerautomate.microsoft.com/" target="_blank">https://powerautomate.microsoft.com/</a>.<o:p></o:p></li>
</ul>

<h2 style="text-align: left;">Code-Based Tools (Integrated with VS Code) </h2>

<p class="MsoNormal">These are beginner-friendly for IT pros ready to explore
coding, leveraging VS Code as a lightweight IDE. VS Code extensions simplify AI
development.<o:p></o:p></p>

<ul style="margin-top: 0in;" type="disc">
<li class="MsoNormal" style="mso-list: l5 level1 lfo27; tab-stops: list .5in;"><b>Visual
Studio Code (VS Code)</b>: Free, open-source IDE for AI scripting and tool
integration: <a href="https://code.visualstudio.com/" target="_blank">https://code.visualstudio.com/</a>.
<o:p></o:p></li>
<ul style="margin-top: 0in;" type="circle">
<li class="MsoNormal" style="mso-list: l5 level2 lfo27; tab-stops: list 1.0in;"><b>Why
Use?</b> VS Code supports Python, JavaScript, and no-code/low-code
extensions, making it ideal for IT pros experimenting with AI libraries.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l5 level2 lfo27; tab-stops: list 1.0in;"><b>Setup
Tip:</b> Install extensions like Python, Jupyter, and GitHub Copilot for
AI assistance.<o:p></o:p></li>
</ul>
<li class="MsoNormal" style="mso-list: l5 level1 lfo27; tab-stops: list .5in;"><b>Hugging
Face Transformers</b>: Open-source AI library for LLMs, usable in VS Code
with Python: <a href="https://huggingface.co/docs/transformers/index" target="_blank">https://huggingface.co/docs/transformers/index</a>. <o:p></o:p></li>
<ul style="margin-top: 0in;" type="circle">
<li class="MsoNormal" style="mso-list: l5 level2 lfo27; tab-stops: list 1.0in;"><b>VS
Code Integration:</b> Use the Hugging Face extension (search in VS Code
marketplace) for model management.<o:p></o:p></li>
</ul>
<li class="MsoNormal" style="mso-list: l5 level1 lfo27; tab-stops: list .5in;"><b>TensorFlow.js</b>:
JavaScript-based ML library for browser-based AI, runs in VS Code: <a href="https://www.tensorflow.org/js" target="_blank">https://www.tensorflow.org/js</a>.
<o:p></o:p></li>
<ul style="margin-top: 0in;" type="circle">
<li class="MsoNormal" style="mso-list: l5 level2 lfo27; tab-stops: list 1.0in;"><b>VS
Code Integration:</b> Use JavaScript extensions and Live Server for
testing.<o:p></o:p></li>
</ul>
<li class="MsoNormal" style="mso-list: l5 level1 lfo27; tab-stops: list .5in;"><b>PyTorch</b>:
Open-source ML framework, beginner-friendly with VS Code Python support: <a href="https://pytorch.org/" target="_blank">https://pytorch.org/</a>. <o:p></o:p></li>
<ul style="margin-top: 0in;" type="circle">
<li class="MsoNormal" style="mso-list: l5 level2 lfo27; tab-stops: list 1.0in;"><b>VS
Code Integration:</b> Install PyTorch via pip in VS Code&#8217;s terminal; use
Jupyter notebooks for experiments.<o:p></o:p></li>
</ul>
<li class="MsoNormal" style="mso-list: l5 level1 lfo27; tab-stops: list .5in;"><b>LangChain.js</b>:
JavaScript version of LangChain for agentic AI, usable in VS Code: <a href="https://js.langchain.com/" target="_blank">https://js.langchain.com/</a>.
<o:p></o:p></li>
<ul style="margin-top: 0in;" type="circle">
<li class="MsoNormal" style="mso-list: l5 level2 lfo27; tab-stops: list 1.0in;"><b>VS
Code Integration:</b> Use Node.js extension for scripting; pair with
LangChain templates.<o:p></o:p></li>
</ul>
<li class="MsoNormal" style="mso-list: l5 level1 lfo27; tab-stops: list .5in;"><b>Ollama
Extension for VS Code</b>: Run local models directly in VS Code: <a href="https://marketplace.visualstudio.com/items?itemName=ollama.ollama" target="_blank">https://marketplace.visualstudio.com/items?itemName=ollama.ollama</a>.
<o:p></o:p></li>
<ul style="margin-top: 0in;" type="circle">
<li class="MsoNormal" style="mso-list: l5 level2 lfo27; tab-stops: list 1.0in;"><b>Why
Use?</b> Extends course&#8217;s Ollama usage with a familiar IDE interface.<o:p></o:p></li>
</ul>
</ul>

<h1 style="text-align: left;">Free/Open-Source Courses</h1>

<p class="MsoNormal">These are beginner-friendly, no-code/low-code focused, with
certificates where possible. Some include VS Code for light coding.<o:p></o:p></p>

<ul style="margin-top: 0in;" type="disc">
<li class="MsoNormal" style="mso-list: l10 level1 lfo28; tab-stops: list .5in;"><b>Elements
of AI</b>: Free intro to AI basics (no-code): <a href="https://www.elementsofai.com/" target="_blank">https://www.elementsofai.com/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l10 level1 lfo28; tab-stops: list .5in;"><b>AI
for Everyone by Andrew Ng (Coursera)</b>: Non-technical overview: <a href="https://www.coursera.org/learn/ai-for-everyone" target="_blank">https://www.coursera.org/learn/ai-for-everyone</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l10 level1 lfo28; tab-stops: list .5in;"><b>Introduction
to AI by IBM</b>: Free on Cognitive Class: <a href="https://cognitiveclass.ai/courses/ai-for-everyone" target="_blank">https://cognitiveclass.ai/courses/ai-for-everyone</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l10 level1 lfo28; tab-stops: list .5in;"><b>MyGreatLearning
Free AI Courses</b>: Machine learning and more: <a href="https://www.mygreatlearning.com/ai/free-courses" target="_blank">https://www.mygreatlearning.com/ai/free-courses</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l10 level1 lfo28; tab-stops: list .5in;"><b>Hugging
Face Learn</b>: Open-source AI/ML tutorials, some using VS Code: <a href="https://huggingface.co/learn" target="_blank">https://huggingface.co/learn</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l10 level1 lfo28; tab-stops: list .5in;"><b>fast.ai</b>:
Practical deep learning (no-code friendly, supports VS Code): <a href="https://course.fast.ai/" target="_blank">https://course.fast.ai/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l10 level1 lfo28; tab-stops: list .5in;"><b>MIT
OpenCourseWare AI Courses</b>: Beginner-friendly, e.g., Introduction to
Machine Learning (6.036): <a href="https://ocw.mit.edu/courses/6-036-introduction-to-machine-learning-fall-2022/" target="_blank">https://ocw.mit.edu/courses/6-036-introduction-to-machine-learning-fall-2022/</a>;
Introduction to Deep Learning (6.S191, includes VS Code labs): <a href="https://ocw.mit.edu/courses/6-s191-introduction-to-deep-learning-january-iap-2023/" target="_blank">https://ocw.mit.edu/courses/6-s191-introduction-to-deep-learning-january-iap-2023/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l10 level1 lfo28; tab-stops: list .5in;"><b>edX
AI Courses</b>: Free from universities (e.g., AI Fundamentals): <a href="https://www.edx.org/learn/artificial-intelligence" target="_blank">https://www.edx.org/learn/artificial-intelligence</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l10 level1 lfo28; tab-stops: list .5in;"><b>Microsoft
Learn AI Fundamentals</b>: Low-code AI with Power Automate, VS Code
optional: <a href="https://learn.microsoft.com/en-us/training/paths/get-started-ai-fundamentals/" target="_blank">https://learn.microsoft.com/en-us/training/paths/get-started-ai-fundamentals/</a>.<o:p></o:p></li>
</ul>

<h2 style="text-align: left;">YouTube Videos and Channels</h2>

<p class="MsoNormal">Visual, tutorial-based learning for no-code, low-code, and
VS Code-integrated AI. Subscribe for ongoing updates.<o:p></o:p></p>

<ul style="margin-top: 0in;" type="disc">
<li class="MsoNormal" style="mso-list: l20 level1 lfo29; tab-stops: list .5in;"><b>Channels:</b>
<o:p></o:p></li>
<ul style="margin-top: 0in;" type="circle">
<li class="MsoNormal" style="mso-list: l20 level2 lfo29; tab-stops: list 1.0in;"><b>freeCodeCamp</b>:
Comprehensive no-code/low-code AI tutorials, some with VS Code: <a href="https://www.youtube.com/c/Freecodecamp" target="_blank">https://www.youtube.com/c/Freecodecamp</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l20 level2 lfo29; tab-stops: list 1.0in;"><b>NoCodeDevs</b>:
No-code app building with AI: <a href="https://www.youtube.com/c/NoCodeDevs" target="_blank">https://www.youtube.com/c/NoCodeDevs</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l20 level2 lfo29; tab-stops: list 1.0in;"><b>WeAreNoCode</b>:
Beginner no-code AI projects: <a href="https://www.youtube.com/c/WeAreNoCode" target="_blank">https://www.youtube.com/c/WeAreNoCode</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l20 level2 lfo29; tab-stops: list 1.0in;"><b>Two
Minute Papers</b>: Quick AI research summaries: <a href="https://www.youtube.com/c/K%C3%A1rolyZsolnai" target="_blank">https://www.youtube.com/c/K%C3%A1rolyZsolnai</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l20 level2 lfo29; tab-stops: list 1.0in;"><b>Sentdex</b>:
Practical AI, including VS Code Python tutorials: <a href="https://www.youtube.com/c/sentdex" target="_blank">https://www.youtube.com/c/sentdex</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l20 level2 lfo29; tab-stops: list 1.0in;"><b>Analytics
Vidhya</b>: AI for beginners, some low-code: <a href="https://www.youtube.com/c/AnalyticsVidhya" target="_blank">https://www.youtube.com/c/AnalyticsVidhya</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l20 level2 lfo29; tab-stops: list 1.0in;"><b>Tech
With Tim</b>: Python and VS Code AI tutorials: <a href="https://www.youtube.com/c/TechWithTim" target="_blank">https://www.youtube.com/c/TechWithTim</a>.<o:p></o:p></li>
</ul>
<li class="MsoNormal" style="mso-list: l20 level1 lfo29; tab-stops: list .5in;"><b>Specific
Videos:</b> <o:p></o:p></li>
<ul style="margin-top: 0in;" type="circle">
<li class="MsoNormal" style="mso-list: l20 level2 lfo29; tab-stops: list 1.0in;">&#8220;10
FREE AI Courses for Absolute Beginners in 2025&#8221;: <a href="https://www.youtube.com/watch?v=pIo4mbGGyhE" target="_blank">https://www.youtube.com/watch?v=pIo4mbGGyhE</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l20 level2 lfo29; tab-stops: list 1.0in;">&#8220;Right
Way To Learn AI In 2025&#8221;: <a href="https://www.youtube.com/watch?v=TYEqenKrbaM" target="_blank">https://www.youtube.com/watch?v=TYEqenKrbaM</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l20 level2 lfo29; tab-stops: list 1.0in;">&#8220;5
Best APP Builders For Beginners In 2025 (No-Code + AI)&#8221;: <a href="https://www.youtube.com/watch?v=EXajQaw0tWI" target="_blank">https://www.youtube.com/watch?v=EXajQaw0tWI</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l20 level2 lfo29; tab-stops: list 1.0in;">&#8220;Top
5 YouTube Channels to Learn AI in 2025&#8221;: <a href="https://www.youtube.com/watch?v=FpK09bYIkIk" target="_blank">https://www.youtube.com/watch?v=FpK09bYIkIk</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l20 level2 lfo29; tab-stops: list 1.0in;">&#8220;VS
Code for Beginners &#8211; Build AI Models with Python (2025)&#8221;: Search for
recent equivalents on YouTube.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l20 level2 lfo29; tab-stops: list 1.0in;">&#8220;Hugging
Face Transformers in VS Code Tutorial&#8221;: Search for 2025 tutorials on
YouTube.<o:p></o:p></li>
</ul>
</ul>

<h2 style="text-align: left;">Advanced Resources</h2>

<p class="MsoNormal">For next-level learning once comfortable with
no-code/low-code, including VS Code workflows.<o:p></o:p></p>

<ul style="margin-top: 0in;" type="disc">
<li class="MsoNormal" style="mso-list: l4 level1 lfo30; tab-stops: list .5in;"><b>NoCode
Founders Community</b>: Forums and tools for no-code/low-code: <a href="https://nocodefounders.com/" target="_blank">https://nocodefounders.com/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l4 level1 lfo30; tab-stops: list .5in;"><b>Buildfire
2025 No-Code AI Guide</b>: In-depth tool reviews: <a href="https://buildfire.com/no-code-ai-tools/" target="_blank">https://buildfire.com/no-code-ai-tools/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l4 level1 lfo30; tab-stops: list .5in;"><b>Airtable
No-Code AI Tools Guide</b>: <a href="https://www.airtable.com/articles/no-code-ai-tools" target="_blank">https://www.airtable.com/articles/no-code-ai-tools</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l4 level1 lfo30; tab-stops: list .5in;"><b>Pragmatic
Coders AI Tools List</b>: Includes VS Code-compatible tools: <a href="https://www.pragmaticcoders.com/resources/ai-developer-tools" target="_blank">https://www.pragmaticcoders.com/resources/ai-developer-tools</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l4 level1 lfo30; tab-stops: list .5in;"><b>GitHub
Copilot</b>: AI-powered coding assistant in VS Code: <a href="https://github.com/features/copilot" target="_blank">https://github.com/features/copilot</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l4 level1 lfo30; tab-stops: list .5in;"><b>Jupyter
Notebooks in VS Code</b>: Interactive AI development: <a href="https://code.visualstudio.com/docs/datascience/jupyter-notebooks" target="_blank">https://code.visualstudio.com/docs/datascience/jupyter-notebooks</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l4 level1 lfo30; tab-stops: list .5in;"><b>Reddit
r/nocode</b>: Community for no-code/low-code AI: <a href="https://www.reddit.com/r/nocode/" target="_blank">https://www.reddit.com/r/nocode/</a>.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l4 level1 lfo30; tab-stops: list .5in;"><b>Reddit
r/MachineLearning</b>: Beginner AI discussions, including VS Code tips: <a href="https://www.reddit.com/r/MachineLearning/" target="_blank">https://www.reddit.com/r/MachineLearning/</a>.<o:p></o:p></li>
</ul>

<h2 style="text-align: left;">Learning Path Suggestions</h2>

<ol start="1" style="margin-top: 0in;" type="1">
<li class="MsoNormal" style="mso-list: l9 level1 lfo31; tab-stops: list .5in;"><b>No-Code
First:</b> Start with Elements of AI and Akkio for immediate IT
applications.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l9 level1 lfo31; tab-stops: list .5in;"><b>Low-Code
Transition:</b> Try AppGyver or Power Automate, using visual scripting to
ease into coding concepts.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l9 level1 lfo31; tab-stops: list .5in;"><b>VS
Code Exploration:</b> Install VS Code with Python/Jupyter extensions;
follow Sentdex or fast.ai tutorials for light scripting (e.g., simple LLM
queries).<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l9 level1 lfo31; tab-stops: list .5in;"><b>Community
Engagement:</b> Share projects on NoCode Founders or Reddit; ask for
feedback on X.<o:p></o:p></li>
<li class="MsoNormal" style="mso-list: l9 level1 lfo31; tab-stops: list .5in;"><b>Certification:</b>
Complete Google AI Essentials or MIT&#8217;s 6.S191 for a badge to boost your IT
resume.<o:p></o:p></li>
</ol>

<p class="MsoNormal">These resources are current for July 2025, emphasizing
no-code/low-code with a clear path to VS Code for IT pros ready to experiment.<o:p></o:p></p>

<p class="MsoNormal"><o:p>&nbsp;</o:p></p>
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<h2 class='date-header'><span>Saturday, July 12, 2025</span></h2>

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<a href='https://www.cloudauditcontrols.com/2025/07/a-visual-introduction-to-ml-tuning-bias.html'>A visual introduction to ML | Tuning | Bias-Variance</a>
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<p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEj4KYZO-gUvH260GIrNdJnI8x3fJwa2Us9lI4yIs4VGgrQ0EqlPJxZkEp2Q1zkvOa1d8mH7q0aPvnfUsBovHxcs-0kSgVojEm_T0hkMY3j0oV8w-G6Qm4Aggcx0yK5LBZM9DBN4jUqX1p4xsb07RNNHvfYHHpBeZ44PkvYCiACZnJMgUoQoZ12KRXRaqiI" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="1480" data-original-width="2906" height="163" src="https://blogger.googleusercontent.com/img/a/AVvXsEj4KYZO-gUvH260GIrNdJnI8x3fJwa2Us9lI4yIs4VGgrQ0EqlPJxZkEp2Q1zkvOa1d8mH7q0aPvnfUsBovHxcs-0kSgVojEm_T0hkMY3j0oV8w-G6Qm4Aggcx0yK5LBZM9DBN4jUqX1p4xsb07RNNHvfYHHpBeZ44PkvYCiACZnJMgUoQoZ12KRXRaqiI" width="320" /></a></div><p></p><p dir="auto" style="white-space-collapse: preserve;">I came across R2D3's interactive guide on machine learning basics (Parts 1 &amp; 2) and thought it'd be useful to share. It's a visual explanation using a dataset of homes in San Francisco vs. New York for classification.</p><p dir="auto" style="white-space-collapse: preserve;"><strong>Part 1: Basics of ML and Decision Trees</strong></p><ul dir="auto">
<li>ML uses statistical techniques to identify patterns in data for predictions, e.g., classifying homes by features like elevation and price per sq ft.</li>
<li>Decision trees create boundaries via if-then splits (forks) on variables, recursively building branches until patterns emerge.</li>
<li>Training involves growing the tree for accuracy on known data, but overfitting can occur, leading to poor performance on unseen test data.</li>
</ul><p dir="auto" style="white-space-collapse: preserve;"><strong>Part 2: Bias-Variance Tradeoff</strong></p><ul dir="auto">
<li>Models have tunable parameters (e.g., minimum node size) to control complexity.</li>
<li>High bias: Overly simple models (e.g., a single-split "stump") ignore nuances, causing systematic errors.</li>
<li>High variance: Overly complex models overfit to training data quirks, causing inconsistent errors on new data.</li>
<li>Optimal models balance bias and variance to minimize total error; deeper trees reduce bias but increase variance.</li>
</ul><p dir="auto" style="white-space-collapse: preserve;">Created by Stephanie Yee (statistician) and Tony Chu (designer) at R2D3.us. Great for intuitive understanding&#8212;check it out if interested.</p><p><b>Sources</b>:&nbsp;</p><p></p><ul style="text-align: left;"><li><a href="http://www.r2d3.us/visual-intro-to-machine-learning-part-1/">Part 1: A visual introduction to machine learning</a></li><li><a href="http://www.r2d3.us/visual-intro-to-machine-learning-part-2/">Part II: Model Tuning and the Bias-Variance Tradeoff</a></li></ul><p></p>
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<h2 class='date-header'><span>Tuesday, June 24, 2025</span></h2>

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<a href='https://www.cloudauditcontrols.com/2025/06/reducing-memory-related-vulnerabilities.html'>Reducing Memory-Related Vulnerabilities - NSA New Guidance</a>
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<p style="text-align: left;"><a href="https://www.cisa.gov/news-events/alerts/2025/06/24/new-guidance-released-reducing-memory-related-vulnerabilities" style="margin-left: 1em; margin-right: 1em; text-align: center;" target="_blank"><img alt="" data-original-height="152" data-original-width="747" height="41" src="https://blogger.googleusercontent.com/img/a/AVvXsEjCIN0zyKeY6szjiQSNJH07OgHtef-odHUx4Ox32RzVA9nfvtxlXAj9q_YQh5FqrgmFgWDVdxNU00MRt4qCliFZkSr5m-q0w7y2NbTv06kw8b9n7EgTB-_RMKyGI7-xp52kwC5ET_mucVx9ccD_wHDHO9rnlYzNwiAycEgzNS9_hT0WFcHcX1xfuF-eQrw=w200-h41" width="200" /></a>&nbsp;</p><p style="text-align: left;">Here's the summary of the new <a href="https://media.defense.gov/2025/Jun/23/2003742198/-1/-1/0/CSI_MEMORY_SAFE_LANGUAGES_REDUCING_VULNERABILITIES_IN_MODERN_SOFTWARE_DEVELOPMENT.PDF" target="_blank">Memory Safe Language (MSL) guidance</a>. Why do you care? Memory safety vulnerabilities persist at <b>alarming </b>rates.&nbsp;</p><p style="text-align: left;">Some older stats:&nbsp;</p><p></p><ul style="text-align: left;"><li>About <b>70% of Microsoft CVEs</b> are memory safety issues</li><li><b>70% of Google Chromium</b> project vulnerabilities are memory safety related</li><li><b>67% of zero-day vulnerabilities in 2021</b> were memory safety issues</li></ul><div>Some newer stats. Because there's still a challenge.</div><div><ul style="text-align: left;"><li><b>66% of iOS CVEs</b> are memory safety related</li><li><b>71% of macOS CVEs</b> stem from memory safety issues</li></ul></div><p></p><p>If you haven't been thinking about root cause analysis for reducing software vulnerabilities you're already behind your peers. And here is a major root cause. Memory Safe Programming Languages (MSLs) can eliminate these vulnerabilities entirely. These are programming languages designed to prevent common memory-related coding errors that malicious actors routinely exploit.</p><h3 style="text-align: left;">Business and Technical Benefits</h3><p>All of this is interesting... <u>but take note</u>:&nbsp;</p><p><b>Security Benefits</b>: (obviously...)</p><p></p><ul style="text-align: left;"><li>Vulnerability Elimination: Entire classes of bugs become impossible</li><li>Reduced Attack Surface: Forces attackers to find other types of vulnerabilities</li><li>Proactive Protection: Prevents problems during development rather than patching them later</li></ul><p></p><p><b>Reliability Benefits</b>: (good for business...)</p><p></p><ul style="text-align: left;"><li>Fewer Crashes: Programs behave more predictably</li><li>Better Error Messages: When problems occur, MSLs provide clearer debugging information</li><li>Increased Uptime: More stable systems mean less downtime</li></ul><p></p><p><b>Productivity Benefits</b>: (good for the people...)</p><p></p><ul style="text-align: left;"><li>Faster Debugging: Developers spend less time hunting memory bugs</li><li>Focus on Features: Teams can concentrate on building functionality instead of fixing memory issues</li><li>Reduced Emergency Patches: Fewer urgent security updates needed</li></ul><p></p><p><b>Sources</b>:</p><p></p><ul style="text-align: left;"><li><a href="https://media.defense.gov/2025/Jun/23/2003742198/-1/-1/0/CSI_MEMORY_SAFE_LANGUAGES_REDUCING_VULNERABILITIES_IN_MODERN_SOFTWARE_DEVELOPMENT.PDF">Memory Safe Languages: Reducing Vulnerabilities in Modern Software Development</a></li><li><a href="https://www.cisa.gov/sites/default/files/2023-12/The-Case-for-Memory-Safe-Roadmaps-508c.pdf">The Case for Memory Safe Roadmaps</a></li></ul><br /><p></p>
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<h2 class='date-header'><span>Monday, April 7, 2025</span></h2>

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<a href='https://www.cloudauditcontrols.com/2025/04/databricks-ai-security-framework-dasf.html'>Databricks AI Security Framework (DASF) | Third-party Tools</a>
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<p></p><div class="separator" style="clear: both; text-align: left;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEgyM65gyrlbyVhIr-C5lwYZjhnVgci5yrPbSgodZVcVkTfqLAfIrZYgSrzEWTmpUFIy_U6k8lvIldBqkgumDyZ5_O7WiUvd7I7R_2wPR9kLaLkkw2ItSIqml7hB3OMnSiwSPT52LouMBICd7UOJXx5n1EjNJlNMsqcMdzP-NTBkxhRjbQ6BgRXO_ZDO5YY" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="22" data-original-width="132" src="https://blogger.googleusercontent.com/img/a/AVvXsEgyM65gyrlbyVhIr-C5lwYZjhnVgci5yrPbSgodZVcVkTfqLAfIrZYgSrzEWTmpUFIy_U6k8lvIldBqkgumDyZ5_O7WiUvd7I7R_2wPR9kLaLkkw2ItSIqml7hB3OMnSiwSPT52LouMBICd7UOJXx5n1EjNJlNMsqcMdzP-NTBkxhRjbQ6BgRXO_ZDO5YY=s16000" /></a>Great work - Amazing work - by the team at Databricks. Nice job!</div><p></p><p><a href="https://www.databricks.com/resources/whitepaper/databricks-ai-security-framework-dasf">Databricks AI Security Framework (DASF) | Databricks</a></p><p>This link leads to a PDF that selflessly has links to a LOT of information. Thank you for including them!</p><p>Here's one such list. I'm storing it here as a quick yellow sticky. Go check out their work for more.&nbsp;</p><table border="1" cellpadding="0" cellspacing="0" class="MsoTableGrid" style="border-collapse: collapse; border: none; mso-border-alt: solid windowtext .5pt; mso-padding-alt: 0in 5.4pt 0in 5.4pt; mso-yfti-tbllook: 1184;">
<tbody><tr style="height: 15.0pt; mso-yfti-firstrow: yes; mso-yfti-irow: 0;">
<td style="border: solid windowtext 1.0pt; height: 15.0pt; mso-border-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 121.0pt;" valign="top" width="161">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><b>Tool Category<o:p></o:p></b></p>
</td>
<td style="border-left: none; border: solid windowtext 1.0pt; height: 15.0pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><b>Tool URL<o:p></o:p></b></p>
</td>
<td style="border-left: none; border: solid windowtext 1.0pt; height: 15.0pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><b>Tool
Description<o:p></o:p></b></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 1;">
<td rowspan="4" style="border-top: none; border: solid windowtext 1.0pt; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 121.0pt;" valign="top" width="161">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><b>Model
Scanners<o:p></o:p></b></p>
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<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://hiddenlayer.com/model-scanner/">HiddenLayer Model Scanner</a><o:p></o:p></u></p>
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<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">A tool that
scans AI models to detect embedded malicious code, vulnerabilities, and
integrity issues, ensuring secure deployment.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 2;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://huggingface.co/docs/hub/security-pickle">Fickling</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">An
open-source utility for analyzing and modifying Python pickle files, commonly
used for serializing machine learning models.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 3;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://protectai.com/guardian">Protect AI Guardian</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">An
enterprise-level tool that scans third-party and proprietary models for
security threats before deployment, enforcing model security policies.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 55.2pt; mso-yfti-irow: 4;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 55.2pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://www.appsoc.com/ai-security-testing">AppSOC&#8217;s AI Security
Testing solution</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 55.2pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">AppSOC&#8217;s AI
Security Testing solution helps in proactively identifying, and assessing the
risks from LLM models by automating model scanning, simulating adversarial
attacks, and validating trust in connected systems, ensuring the models and
ecosystems are safe, compliant, and deployment-ready<o:p></o:p></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 5;">
<td rowspan="7" style="border-top: none; border: solid windowtext 1.0pt; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 121.0pt;" valign="top" width="161">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><b>Model
Validation Tools<o:p></o:p></b></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://www.robustintelligence.com/platform/continuous-validation">Robust
Intelligence Continuous Validation</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">A platform
offering continuous validation of AI models to detect and mitigate
vulnerabilities, ensuring robust and secure AI deployments.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 6;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://protectai.com/recon">Protect AI Recon</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">A product
that automatically validates LLM Model performance across common industry
framework requirements (OWASP, MITRE/ATLAS).<o:p></o:p></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 7;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://www.helpnetsecurity.com/2023/11/29/vigil-llm-security-scanner/">Vigil
LLM security scanner</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">A tool
designed to scan large language models (LLMs) for security vulnerabilities,
ensuring safe deployment and usage.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 8;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://docs.garak.ai/garak/overview/what-is-garak">Garak Automated
Scanning</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">An automated
system that scans AI models for potential security threats, focusing on
detecting malicious code and vulnerabilities.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 9;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://hiddenlayer.com/aidr/">HiddenLayer AIDR</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">A solution
that monitors AI models in real time to detect and respond to adversarial
attacks, safeguarding AI assets.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 10;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://www.citadel.co.jp/en/products/lens/">Citadel Lens</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">A security
tool that provides visibility into AI models, detecting vulnerabilities and
ensuring compliance with security standards.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 55.2pt; mso-yfti-irow: 11;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 55.2pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://www.appsoc.com/ai-security-testing">AppSOC&#8217;s AI Security
Testing solution</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 55.2pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">AppSOC&#8217;s AI
Security Testing solution helps in proactively identifying, and assessing the
risks from LLM models by automating model scanning, simulating adversarial
attacks, and validating trust in connected systems, ensuring the models and
ecosystems are safe, compliant, and deployment-ready<o:p></o:p></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 12;">
<td style="border-top: none; border: solid windowtext 1.0pt; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 121.0pt;" valign="top" width="161">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><b>AI Agents<o:p></o:p></b></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="http://www.arhasi.ai/">Arhasi R.A.P.I.D</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">A platform
offering rapid assessment and protection of AI deployments, focusing on
identifying and mitigating security risks.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 13;">
<td rowspan="9" style="border-top: none; border: solid windowtext 1.0pt; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 121.0pt;" valign="top" width="161">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><b>Guardrails
for LLMs<o:p></o:p></b></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://github.com/NVIDIA/NeMo-Guardrails">NeMo Guardrails</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">A toolkit for
adding programmable guardrails to AI models, ensuring they operate within
defined safety and ethical boundaries.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 14;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://www.guardrailsai.com/docs/">Guradrails AI</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">A framework
that integrates safety protocols into AI models, preventing them from
generating harmful or biased outputs.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 15;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://www.lakera.ai/">Lakera Guard</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">A security
solution that monitors AI models for adversarial attacks and vulnerabilities,
providing real-time protection.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 13.8pt; mso-yfti-irow: 16;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 13.8pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://www.robustintelligence.com/platform/ai-firewall">Robust
Intelligence AI Firewall</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 13.8pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">A protective
layer that shields AI models from adversarial inputs and attacks.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 41.4pt; mso-yfti-irow: 17;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 41.4pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://protectai.com/layer">Protect AI Layer</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 41.4pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">Layer
provides LLM runtime security including observability, monitoring, blocking
for AI Applications. The enterprise grade offering brought to you by the same
team that built the industry leading open source solution LLM Guard. <o:p></o:p></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 18;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://www.arthur.ai/product/shield?utm_medium=paid-search&amp;utm_source=ppc&amp;utm_campaign=ArthurAI-PR&amp;utm_content=aw-search&amp;utm_term=arthur%20shield&amp;utm_campaign=2023+-+Arthur+AI+-+Search+-+May+PR+Push&amp;utm_source=adwords&amp;utm_medium=ppc&amp;hsa_acc=8377995260&amp;hsa_cam=20442898052&amp;hsa_grp=157557364993&amp;hsa_ad=682770131687&amp;hsa_src=g&amp;hsa_tgt=kwd-668270273666&amp;hsa_kw=arthur%20shield&amp;hsa_mt=p&amp;hsa_net=adwords&amp;hsa_ver=3&amp;gad_source=1&amp;gclid=Cj0KCQiAh8OtBhCQARIsAIkWb68Ageh0VhdpQTVzCzCOlcBbkXjTo5i4gZzDbOjkTfTlnYtcrvroCVgaAvOcEALw_wcB">Arthur
Shield</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">A monitoring
solution that tracks AI model performance and security, detecting anomalies
and potential threats in real time.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 19;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://aws.amazon.com/bedrock/guardrails/">Amazon Guardrails</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">A set of
safety protocols integrated into Amazon's AI services to ensure models
operate within ethical and secure boundaries.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 20;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://ai.meta.com/research/publications/llama-guard-llm-based-input-output-safeguard-for-human-ai-conversations/">Meta
Llama Guard</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">Meta
implemented security measures to protect their Llama models from
vulnerabilities and adversarial attacks.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 21;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="http://www.arhasi.ai/">Arhasi R.A.P.I.D</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">A platform
offering rapid assessment and protection of AI deployments, focusing on
identifying and mitigating security risks.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 22;">
<td rowspan="4" style="border-top: none; border: solid windowtext 1.0pt; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 121.0pt;" valign="top" width="161">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><b>DASF
Validation and Assessment Products and Services<o:p></o:p></b></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://safe.security/">Safe Security</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">SAFE One
makes cybersecurity an accelerator to the business by delivering the industry's
only data-driven, unified platform for managing all your first-party and
third-party cyber risks.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 13.8pt; mso-yfti-irow: 23;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 13.8pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://www.obsidiansecurity.com/">Obsidian</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 13.8pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">Obsidian
Security combines application posture with identity and data security,
safeguarding SaaS.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 13.8pt; mso-yfti-irow: 24;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 13.8pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://www.eqtylab.io/">EQTY Labs</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 13.8pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">EQTY Lab
builds advanced governance solutions to evolve trust in AI.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 13.8pt; mso-yfti-irow: 25;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 13.8pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://www.appsoc.com/integrations/databricks-integration">AppSOC</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 13.8pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">Makes
Databricks the most secure AI platform with real-time visibility, guardrails,
and protection.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 26;">
<td rowspan="13" style="border-top: none; border: solid windowtext 1.0pt; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 121.0pt;" valign="top" width="161">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><b>Public AI
Red Teaming Tools<o:p></o:p></b></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://github.com/leondz/garak">Garak</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">An automated
scanning tool that analyzes AI models for potential security threats,
focusing on detecting malicious code and vulnerabilities.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 41.4pt; mso-yfti-irow: 27;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 41.4pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://protectai.com/recon">Protect AI Recon</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 41.4pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">A product
with a full suite of Red Teaming options for AI applications, including a
library of common attacks, human augmented attacks, and LLM generated scans;
complete with mapping to common industry frameworks like OWASP and
MITRE/ATLAS.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 28;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://github.com/Azure/PyRIT">PyRIT</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">A
Python-based tool for testing the robustness of AI models against adversarial
attacks, ensuring model resilience.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 29;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://github.com/Trusted-AI/adversarial-robustness-toolbox">Adversarial
Robustness Toolbox (ART)</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">An
open-source library that provides tools to assess and improve the robustness
of machine learning models against adversarial threats.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 30;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://github.com/Azure/counterfit">Counterfeit</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">A tool
designed to test AI models for vulnerabilities by simulating adversarial
attacks, helping developers enhance model security.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 31;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://github.com/sambanova/toolbench">ToolBench</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">A suite of
tools for evaluating and improving the security and robustness of AI models,
focusing on detecting vulnerabilities.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 32;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://github.com/Giskard-AI/giskard">Giskard-AI llm scan</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">A tool that
scans large language models for security vulnerabilities, ensuring safe
deployment and usage.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 33;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://hiddenlayer.com/">Hidden Layer - Automated Red Teaming for AI</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">A service
that simulates adversarial attacks on AI models to identify vulnerabilities
and strengthen defenses.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 34;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://github.com/trailofbits/fickling">Fickle scanning tools</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">Utilities designed
to analyze and modify serialized Python objects, commonly used in machine
learning models, to detect and mitigate security risks.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 35;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://github.com/meta-llama/PurpleLlama">CyberSecEval 3</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">A platform
that evaluates the security posture of AI systems, identifying
vulnerabilities and providing recommendations for mitigation.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 36;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://github.com/dreadnode/parley">Parley</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">A tool that
facilitates secure and compliant interactions between AI models and users,
ensuring adherence to safety protocols.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 27.6pt; mso-yfti-irow: 37;">
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 232.0pt;" valign="top" width="309">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://github.com/INK-USC/BITE">BITE</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 27.6pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">A framework
for testing the security and robustness of AI models by simulating various
adversarial attack scenarios.<o:p></o:p></p>
</td>
</tr>
<tr style="height: 55.2pt; mso-yfti-irow: 38; mso-yfti-lastrow: yes;">
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<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;"><u><a href="https://github.com/meta-llama/PurpleLlama">Purple Llama</a><o:p></o:p></u></p>
</td>
<td style="border-bottom: solid windowtext 1.0pt; border-left: none; border-right: solid windowtext 1.0pt; border-top: none; height: 55.2pt; mso-border-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-top-alt: solid windowtext .5pt; padding: 0in 5.4pt 0in 5.4pt; width: 503.0pt;" valign="top" width="671">
<p class="MsoNormal" style="line-height: normal; margin-bottom: 0in;">Purple Llama
is an umbrella project that over time will bring together tools and evals to
help the community build responsibly with open generative AI models. The
initial release will include tools and evals for Cyber Security and
Input/Output safeguards but we plan to contribute more in the near future.<o:p></o:p></p>
</td>
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<span class='post-count' dir='ltr'>(18)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2023/11/'>
November
</a>
<span class='post-count' dir='ltr'>(1)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2023/10/'>
October
</a>
<span class='post-count' dir='ltr'>(1)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2023/09/'>
September
</a>
<span class='post-count' dir='ltr'>(4)</span>
</li>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2023/07/'>
July
</a>
<span class='post-count' dir='ltr'>(3)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2023/06/'>
June
</a>
<span class='post-count' dir='ltr'>(1)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2023/05/'>
May
</a>
<span class='post-count' dir='ltr'>(2)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2023/02/'>
February
</a>
<span class='post-count' dir='ltr'>(1)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2023/01/'>
January
</a>
<span class='post-count' dir='ltr'>(5)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2022/'>
2022
</a>
<span class='post-count' dir='ltr'>(22)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2022/11/'>
November
</a>
<span class='post-count' dir='ltr'>(1)</span>
</li>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2022/10/'>
October
</a>
<span class='post-count' dir='ltr'>(3)</span>
</li>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2022/09/'>
September
</a>
<span class='post-count' dir='ltr'>(2)</span>
</li>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2022/08/'>
August
</a>
<span class='post-count' dir='ltr'>(4)</span>
</li>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2022/07/'>
July
</a>
<span class='post-count' dir='ltr'>(4)</span>
</li>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2022/06/'>
June
</a>
<span class='post-count' dir='ltr'>(3)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2022/05/'>
May
</a>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2022/04/'>
April
</a>
<span class='post-count' dir='ltr'>(1)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2022/02/'>
February
</a>
<span class='post-count' dir='ltr'>(2)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2021/'>
2021
</a>
<span class='post-count' dir='ltr'>(7)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2021/08/'>
August
</a>
<span class='post-count' dir='ltr'>(2)</span>
</li>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2021/07/'>
July
</a>
<span class='post-count' dir='ltr'>(1)</span>
</li>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2021/05/'>
May
</a>
<span class='post-count' dir='ltr'>(1)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2021/03/'>
March
</a>
<span class='post-count' dir='ltr'>(1)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2021/02/'>
February
</a>
<span class='post-count' dir='ltr'>(2)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2020/'>
2020
</a>
<span class='post-count' dir='ltr'>(10)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2020/08/'>
August
</a>
<span class='post-count' dir='ltr'>(1)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2020/07/'>
July
</a>
<span class='post-count' dir='ltr'>(1)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2020/06/'>
June
</a>
<span class='post-count' dir='ltr'>(2)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2020/04/'>
April
</a>
<span class='post-count' dir='ltr'>(1)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2020/03/'>
March
</a>
<span class='post-count' dir='ltr'>(1)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2020/02/'>
February
</a>
<span class='post-count' dir='ltr'>(2)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2020/01/'>
January
</a>
<span class='post-count' dir='ltr'>(2)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2019/'>
2019
</a>
<span class='post-count' dir='ltr'>(14)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2019/10/'>
October
</a>
<span class='post-count' dir='ltr'>(1)</span>
</li>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2019/08/'>
August
</a>
<span class='post-count' dir='ltr'>(3)</span>
</li>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2019/05/'>
May
</a>
<span class='post-count' dir='ltr'>(4)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2019/04/'>
April
</a>
<span class='post-count' dir='ltr'>(1)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2019/03/'>
March
</a>
<span class='post-count' dir='ltr'>(2)</span>
</li>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2019/02/'>
February
</a>
<span class='post-count' dir='ltr'>(3)</span>
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</ul>
</li>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2018/'>
2018
</a>
<span class='post-count' dir='ltr'>(1)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2018/03/'>
March
</a>
<span class='post-count' dir='ltr'>(1)</span>
</li>
</ul>
</li>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2017/'>
2017
</a>
<span class='post-count' dir='ltr'>(1)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2017/02/'>
February
</a>
<span class='post-count' dir='ltr'>(1)</span>
</li>
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</li>
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</a>
<a class='post-count-link' href='https://www.cloudauditcontrols.com/2016/'>
2016
</a>
<span class='post-count' dir='ltr'>(17)</span>
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<a class='post-count-link' href='https://www.cloudauditcontrols.com/2016/10/'>
October
</a>
<span class='post-count' dir='ltr'>(2)</span>
</li>
</ul>
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</span>
</a>
<a class='post-count-link' href='https://www.cloudauditcontrols.com/2016/05/'>
May
</a>
<span class='post-count' dir='ltr'>(1)</span>
</li>
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</a>
<a class='post-count-link' href='https://www.cloudauditcontrols.com/2016/04/'>
April
</a>
<span class='post-count' dir='ltr'>(2)</span>
</li>
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</a>
<a class='post-count-link' href='https://www.cloudauditcontrols.com/2016/03/'>
March
</a>
<span class='post-count' dir='ltr'>(1)</span>
</li>
</ul>
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</span>
</a>
<a class='post-count-link' href='https://www.cloudauditcontrols.com/2016/02/'>
February
</a>
<span class='post-count' dir='ltr'>(6)</span>
</li>
</ul>
<ul class='hierarchy'>
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</a>
<a class='post-count-link' href='https://www.cloudauditcontrols.com/2016/01/'>
January
</a>
<span class='post-count' dir='ltr'>(5)</span>
</li>
</ul>
</li>
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</a>
<a class='post-count-link' href='https://www.cloudauditcontrols.com/2015/'>
2015
</a>
<span class='post-count' dir='ltr'>(13)</span>
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</a>
<a class='post-count-link' href='https://www.cloudauditcontrols.com/2015/12/'>
December
</a>
<span class='post-count' dir='ltr'>(4)</span>
</li>
</ul>
<ul class='hierarchy'>
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</span>
</a>
<a class='post-count-link' href='https://www.cloudauditcontrols.com/2015/11/'>
November
</a>
<span class='post-count' dir='ltr'>(3)</span>
</li>
</ul>
<ul class='hierarchy'>
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</span>
</a>
<a class='post-count-link' href='https://www.cloudauditcontrols.com/2015/10/'>
October
</a>
<span class='post-count' dir='ltr'>(1)</span>
</li>
</ul>
<ul class='hierarchy'>
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</span>
</a>
<a class='post-count-link' href='https://www.cloudauditcontrols.com/2015/08/'>
August
</a>
<span class='post-count' dir='ltr'>(1)</span>
</li>
</ul>
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</span>
</a>
<a class='post-count-link' href='https://www.cloudauditcontrols.com/2015/05/'>
May
</a>
<span class='post-count' dir='ltr'>(1)</span>
</li>
</ul>
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</span>
</a>
<a class='post-count-link' href='https://www.cloudauditcontrols.com/2015/03/'>
March
</a>
<span class='post-count' dir='ltr'>(1)</span>
</li>
</ul>
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</span>
</a>
<a class='post-count-link' href='https://www.cloudauditcontrols.com/2015/02/'>
February
</a>
<span class='post-count' dir='ltr'>(1)</span>
</li>
</ul>
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</span>
</a>
<a class='post-count-link' href='https://www.cloudauditcontrols.com/2015/01/'>
January
</a>
<span class='post-count' dir='ltr'>(1)</span>
</li>
</ul>
</li>
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</span>
</a>
<a class='post-count-link' href='https://www.cloudauditcontrols.com/2014/'>
2014
</a>
<span class='post-count' dir='ltr'>(11)</span>
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