Episode 40 — Contain AI incidents quickly by limiting access and stopping risky flows (Task 16)
This episode introduces Task 16 by focusing on rapid containment actions for AI incidents, because AAISM questions often test whether you can stop harm first by limiting access and risky data flows while preserving evidence and keeping governance decision rights intact. You’ll define containment for AI contexts, including disabling compromised accounts, revoking or narrowing plugin and connector permissions, pausing data ingestion or retraining pipelines, rolling back risky configuration changes, and placing guardrails on outputs when safety or leakage risk is elevated. We’ll use a scenario where an internal assistant is suspected of exposing confidential documents through an overly broad search connector, and you’ll practice the containment sequence: isolate access paths, validate scope, coordinate approvals, and document actions so containment is defensible and reversible. Troubleshooting covers common pitfalls like shutting down logging, overcorrecting without understanding dependencies, and failing to communicate containment status to stakeholders who must make risk decisions during recovery. 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.
