Episode 80 — Prove AI controls work over time, not only on launch day (Task 12)
This episode teaches you how to prove AI controls work over time, because Task 12 often tests whether you can validate continuous control effectiveness in a world where data, models, and environments change. You’ll learn how controls degrade when monitoring is ignored, when ownership shifts, when data sources evolve, and when model updates happen without full validation and documentation. We’ll cover approaches to ongoing assurance, such as periodic control testing, sampling of decisions and reviewer outcomes, trend analysis on incidents and exceptions, and governance reviews that confirm metrics lead to corrective actions. You’ll also learn what evidence proves durability, including recurring reports, audit logs, follow-up validation after changes, and documented improvements based on lessons learned. By the end, you should be ready to answer exam scenarios by selecting the approach that demonstrates sustained control operation and accountability, rather than a one-time compliance effort at deployment. 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.
