Episode 48 — Run the AI risk management life cycle from intake to monitoring (Task 4)
This episode teaches Task 4 by walking through the AI risk management life cycle from intake to monitoring, because AAISM questions often test whether you can apply risk management as a continuous loop rather than a single assessment document. You’ll define the lifecycle stages as intake and scope definition, risk identification, analysis and prioritization, treatment selection, control implementation, acceptance or escalation, and ongoing monitoring with feedback into governance. We’ll use a scenario where a team proposes a new retrieval-augmented assistant that connects to sensitive repositories, and you’ll practice identifying risk sources like access breadth, prompt leakage, output misuse, vendor logging, and change drift, then selecting treatment options that are measurable and owned. Troubleshooting emphasizes where organizations fail: skipping intake discipline, treating assessments as “check the box,” ignoring model and data changes that invalidate prior decisions, and monitoring without thresholds or response playbooks. 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.
