Episode 56 — Build a reassessment cadence that prevents stale AI risk decisions (Task 6)
This episode covers Task 6 by teaching you to build a reassessment cadence that prevents stale AI risk decisions, because AAISM often rewards answers that institutionalize review routines rather than relying on ad hoc “we’ll revisit later” promises. You’ll define how cadence works in practice: scheduled reviews for high-impact systems, event-driven reviews for major changes, and lightweight check-ins that validate inventory accuracy, control health, and monitoring signals without creating unnecessary bureaucracy. We’ll use a scenario where an AI program scales from one business unit to enterprise-wide use, and you’ll practice setting cadence tiers based on sensitivity and criticality, assigning owners, and defining what evidence must be produced at each review to maintain conformity. Troubleshooting covers cadence that is too frequent to sustain, too infrequent to catch drift, or disconnected from change management, which results in approvals that persist long after the underlying assumptions are no longer true. 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.
