Episode 41 — Notify and escalate during AI incidents with the right triggers (Task 16)
This episode teaches how to notify and escalate during AI incidents using clear triggers that prevent both overreaction and dangerous delay, which is exactly what AAISM scenarios test when they ask who should be informed and when. You will learn to define incident severity for AI by combining impact, exposure scope, data sensitivity, and controllability, then map each level to specific notification steps for security, engineering, legal, privacy, vendor management, and business owners. We use examples like suspected prompt-based data leakage, unauthorized model endpoint access, and integrity concerns in a data pipeline to show why escalation must be tied to evidence and risk, not assumptions. Troubleshooting focuses on the most common breakdowns, such as unclear escalation thresholds, missing after-hours coverage, and vendor escalation paths that are not contractually enforceable. 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.
