Episode 3 — Walk through an AI system life cycle in clear, simple language (Task 22)
This episode teaches the AI system life cycle the way the AAISM exam expects you to reason about it: as a chain of decisions, artifacts, and controls from idea intake through retirement. You will define key phases such as data acquisition, training, evaluation, deployment, monitoring, and decommissioning, then link each phase to the security questions an auditor or security lead must ask. We use plain-language examples to show how risks change as systems move from experimentation to production, and why controls must be adapted to pipelines, model endpoints, and user interaction paths. You will also learn common troubleshooting signals, like drift indicators, unexpected access paths, and weak evidence trails that break accountability. 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.
