Episode 36 — Map the AI Lifecycle Clearly: From Idea to Retirement Without Blind Spots (Domain 3)
Domain 3 requires a granular understanding of the AI lifecycle, from the initial concept and data acquisition stages through to deployment, maintenance, and eventual decommissioning. This episode provides a comprehensive map of this lifecycle, highlighting the specific risk points inherent in each phase. For the AAIR exam, candidates must be able to identify where different controls are most effective—such as data quality checks during ingestion or performance monitoring during production. We discuss the importance of a "shift-left" approach, where risk assessments and security reviews are integrated into the earliest stages of model design. Examples of lifecycle blind spots include failing to plan for the secure disposal of training data or overlooking the impact of model retraining on existing compliance certifications. By visualizing the entire journey of an AI system, risk professionals can ensure that governance is continuous and that no stage of the system’s life is left without appropriate oversight. 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.
