Episode 89 — Evaluate AI problem and incident management programs for fast containment (Task 20)
This episode focuses on evaluating AI problem and incident management programs with an emphasis on fast containment, because Task 20 scenarios often involve harmful outputs, drift-driven failures, or abuse patterns that require immediate action. You’ll learn how AI incidents differ from typical IT incidents, including the need to stop harmful decisions quickly, preserve evidence about model versions and data states, and communicate clearly about decision impact and stakeholder harm. We’ll cover what strong programs include: defined incident types for AI, clear severity criteria tied to decision impact, containment options like rollback, disabling automation, tightening thresholds, and increasing human review, and a path from incident response into problem management so root causes are addressed. You’ll also learn the evidence auditors expect, such as incident runbooks, escalation records, post-incident reviews, and tracked corrective actions that prevent repeat failures. By the end, you should be able to choose exam answers that prioritize containment and accountability with traceable evidence, not slow investigations while harm continues. 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.
