Episode 32 — Use metrics to prioritize work and prove security program value (Task 18)
This episode teaches how to use AI security metrics to prioritize work and demonstrate program value, aligning with Task 18 and preparing you for AAISM items where the best answer connects measurement to decisions, resource allocation, and risk reduction. You’ll learn how to translate raw signals into action, such as using inventory coverage and assessment completion rates to identify uncontrolled systems, using incident trends and time-to-remediate to justify investment, and using access review results to focus on the highest-risk permissions first. We’ll use a scenario where leadership asks whether AI rollout is “under control,” and you’ll build a defensible story that ties metrics to governance routines, control performance, and outcomes that matter to stakeholders, including reduced exposure, improved detection, and faster containment. Troubleshooting covers common mistakes like choosing vanity metrics, reporting without thresholds, and failing to link metrics to owners and playbooks, which leads to repeated findings and unclear accountability. 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.
