Episode 54 — Monitor internal changes that require AI risk reassessment (Task 6)
This episode teaches Task 6 by explaining how to monitor internal changes that should trigger AI risk reassessment, because AAISM commonly tests whether you can recognize when a prior approval is no longer valid due to scope, data, or control changes. You’ll define internal change triggers such as expanding the user population, adding new data sources, enabling plugins or connectors, changing prompt templates and guardrails, modifying retention settings, altering access roles, or integrating AI output into automated business decisions. We’ll use a scenario where a team quietly broadens an assistant’s permissions to speed up workflows, and you’ll practice identifying the reassessment points, who must approve updated risk decisions, and which controls and evidence must be revisited before proceeding. Best practices include linking reassessment triggers to change management, keeping inventory and documentation synchronized, and ensuring monitoring outputs can prove when changes occurred and what actions followed. 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.
