Episode 11 — Translate AI regulations into practical, testable security requirements (Task 3)
This episode trains you to convert AI regulations and external obligations into concrete, testable security requirements, which is the core of Task 3 and a common “best answer” driver on AAISM when options compete between vague principles and measurable controls. You’ll learn how to read regulatory language for intent—such as transparency, accountability, privacy, safety, and documentation—then translate it into requirements you can assign to owners, validate with evidence, and monitor over time. We’ll work through scenarios like deploying a customer-facing chatbot, using third-party model hosting, and introducing automated decision support, showing how to define requirements for data handling, access control, logging, human oversight, and change management so you can prove conformity without slowing delivery. Troubleshooting focuses on frequent failures: treating compliance as a one-time checklist, ignoring lifecycle changes that invalidate approvals, and writing requirements that can’t be tested or audited. 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.
