Episode 74 — Apply security controls across the AI life cycle to treat risk (Task 12)
This episode teaches how to apply security controls across the AI life cycle so controls actually treat risk at the points where harm can occur, which AAISM tests through “where should the control be placed” and “what control reduces this risk most” questions. You will learn to map risks to stages, such as access controls and provenance at data intake, integrity controls during training, validation gates before deployment, and monitoring plus incident response readiness in production. We use examples like preventing poisoning at ingestion, limiting leakage through logging, and controlling model changes through approvals and rollback to show how controls work together as a system. Troubleshooting focuses on misapplied controls, such as deploying a monitoring tool but skipping release gates, or writing policies without implementing technical and procedural enforcement. 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.
