Episode 34 — Implement AI security tools into monitoring, alerting, and response workflows (Task 19)
This episode explains how to implement AI security tools so they actually function inside monitoring, alerting, and response workflows, aligning to Task 19 and reflecting how AAISM rewards integration and accountability over standalone tooling. You’ll learn how to connect AI telemetry to your existing security operations processes, including how alerts are triaged, who owns investigation steps, what evidence is collected, and how incidents are escalated and documented. We’ll use a scenario where a new generative AI service is introduced with limited default logging, and you’ll practice deciding what data to capture, how to route it to the right monitoring systems, and how to build detections that are specific enough to be actionable without overwhelming analysts. Troubleshooting covers common rollout failures such as missing runbooks, unclear alert ownership, misaligned severity thresholds, and weak change control that causes detections to break after model updates, all of which can show up as “most effective next step” questions. 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.
