Episode 90 — Run AI incident response: detect, triage, contain, recover, and learn (Domain 2G)
This episode walks through AI incident response as a complete lifecycle—detect, triage, contain, recover, and learn—because Domain 2G expects you to treat AI incidents as operational events with governance consequences and evidence requirements. You’ll learn how detection relies on monitoring, supervision, and stakeholder feedback, and how triage should quickly identify decision impact, affected populations, and whether the cause is drift, data issues, abuse, or a recent change. We’ll cover containment actions that reduce harm immediately, such as pausing automation, rolling back to a known-good model version, restricting access, and tightening review triggers, while preserving evidence like model versions, configuration states, and relevant logs. Recovery will include controlled remediation, re-validation, and careful reintroduction of automation, followed by learning activities like post-incident reviews, control improvements, and updates to runbooks and training. By the end, you should be able to answer exam scenarios by selecting the response that protects stakeholders, preserves accountability, and improves control resilience 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.
