Episode 11 — Translate AI regulations into practical, testable security requirements (Task 3)
This episode shows how to convert regulatory and legal expectations for AI into requirements you can test, monitor, and enforce, which is exactly how AAISM questions frame compliance: not as memorization, but as operational control design. You will learn to separate broad principles from concrete obligations, then express those obligations as “shall” statements tied to scope, owners, evidence, and review frequency. We walk through examples like documentation duties, risk assessment expectations, transparency claims, and third-party oversight, and we highlight common failure modes such as relying on policy language that cannot be verified or selecting controls that do not address the actual requirement. You will practice identifying the minimum evidence set that proves conformity, including approvals, testing results, monitoring records, and exception handling. 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.
