Episode 42 — Eradicate root causes and recover safely after AI security incidents (Task 16)
This episode explains how eradication and recovery work in AI incidents, emphasizing that “restore service” is not the same as “restore trust,” which AAISM questions often probe through post-containment decision-making. You will learn to identify likely root-cause categories such as credential exposure, misconfigured access controls, unsafe prompt integrations, compromised data sources, or ungoverned model updates, then choose eradication steps that remove the cause without destroying evidence. We walk through recovery practices like validating model versions, re-baselining monitoring, reviewing pipeline integrity, and confirming that access paths and secrets have been rotated and re-approved. Troubleshooting centers on risky recoveries, including rushing back to production without confirming integrity, restoring from backups that include poisoned data, or redeploying a model without verifying that the same exposure path is closed. 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.
