Episode 32 — Use metrics to prioritize work and prove security program value (Task 18)
Show notes
This episode teaches how to use AI security metrics to prioritize limited time and budget while also demonstrating program value in terms leaders understand, which AAISM commonly tests through governance and reporting scenarios. You will learn to translate metric trends into decisions, such as which models need deeper assessment, which teams need targeted training, or which controls require tuning due to repeated near-misses. We cover practical prioritization methods like focusing on high-criticality use cases, high-sensitivity data flows, and controls with the largest risk-reduction potential, then show how to present outcomes without exaggeration or hand-waving. Troubleshooting includes avoiding vanity metrics, validating data quality, and preventing “good numbers” from hiding real exposure, especially when monitoring coverage is incomplete. 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.