Episode 85 — Build continuous monitoring for AI systems, controls, and security signals (Task 12)
This episode explains how to build continuous monitoring for AI systems so you can detect control breakdowns, misuse, and emerging risk early, which AAISM tests through operational control effectiveness scenarios. You will learn what to monitor across model endpoints, data pipelines, access paths, guardrails, and control outcomes, and how to turn monitoring into actionable signals with clear thresholds and ownership. We use examples like tracking unusual prompt patterns, access anomalies, drift indicators that correlate to security exposure, and changes to critical configurations that should never happen silently. Troubleshooting focuses on monitoring that produces noise without decisions, missing telemetry that prevents investigation, and unclear responsibilities that cause alerts to be ignored, all of which undermine both security and audit defensibility. 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.
