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If you've been watching the cybersecurity space for the last two years, you've noticed something. Almost every breach report, every vendor pitch, every board meeting — AI is in the conversation. Sometimes as the hero, sometimes as the villain, and very often as both at the same time.
But here's the uncomfortable truth. Most organisations are racing to deploy AI far faster than they are learning how to secure it. We're plugging large language models into customer service, into code pipelines, into decision-making workflows — and we're often doing it without a framework to guide us.
So in today's episode, I want to fix that. I want to walk you through the three frameworks that have become the gold standards for AI security. They are NIST AI RMF, MITRE ATLAS, and the OWASP Top 10 for LLM Applications.
Hopefully by the end of the next fifteen minutes, you will know what each one is, what each acronym actually stands for, what problem each one solves, and — most importantly — how they fit together so you can use them in the real world.
- https://www.nist.gov: AI Risk Management Framework
- https://atlas.mitre.org: MITRE ATLAS
- https://owasp.org: OWASP Top 10 for Large Language Model Applications
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