Episode 9 — Use industry frameworks to organize AI governance and security work (Task 3)
This episode explains how to use industry frameworks as organizing structures for AI governance and security requirements, with an exam focus on mapping principles into testable controls and evidence. You will learn the difference between adopting a framework as guidance versus treating it as a compliance checklist, and how to select scope-appropriate controls for your model, data, and deployment environment. We walk through examples such as aligning responsible AI principles to policy requirements, translating framework language into standards, and using maturity concepts to prioritize improvements. Troubleshooting emphasizes common failures like adopting framework terminology without ownership, evidence, or operational integration, which creates the appearance of governance without real control effectiveness. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your educational path. Also, if you want to stay up to date with the latest news, visit DailyCyber.News for a newsletter you can use, and a daily podcast you can commute with.
