Episode 17 — Keep AI security policies current using ownership and change control (Task 2)
This episode targets the “policy drift” problem and shows how to keep AI security policies current through ownership and change control, which Task 2 treats as essential because AI systems evolve quickly and outdated guidance is functionally the same as no guidance. You’ll learn how to assign policy owners, define review triggers, and integrate updates into existing governance and enterprise change management so policy updates follow the same discipline as system changes. We’ll use practical examples like new AI capabilities introduced by a vendor, regulatory changes affecting your use case, and an incident that reveals a gap in acceptable use language, demonstrating how each event should trigger a review and a documented update process. Troubleshooting covers the common failure modes: policies reviewed on a calendar only, no mapping between policy and procedures, and “temporary” exceptions that become permanent without reassessment. The exam-relevant takeaway is choosing answers that establish durable control over time. 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.
