Episode 17 — Keep AI security policies current using ownership and change control (Task 2)
This episode explains how policy maintenance becomes a security control, especially for AI where systems, threats, and regulations evolve quickly, and how AAISM scenarios test governance maturity through change management. You will learn to assign clear policy owners, define review triggers, and use change control to prevent silent drift between stated requirements and actual practice. We cover practical triggers like new data sources, model architecture changes, vendor onboarding, incident lessons learned, and regulatory updates, along with how to document rationale and approvals. Troubleshooting includes recognizing signals that policies are stale, such as inconsistent team behavior, frequent exceptions, or audit findings that repeat, and choosing exam answers that strengthen accountability rather than adding complexity. 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.
