Episode 15 — Write AI security policies people can follow without guessing (Task 2)
This episode explains how to create AI security policies that are clear, enforceable, and usable by real teams, which AAISM questions often probe through “what should policy include” and “why did policy fail” scenarios. You will learn how to define scope, roles, mandatory behaviors, and prohibited actions in plain language while still being specific enough to test. We use examples like data handling for training, acceptable model use, third-party AI tools, and approval requirements for deploying or changing models. You will also learn common policy breakdowns, such as ambiguous terms, missing enforcement mechanisms, and policy statements that conflict with operational reality, and how those weaknesses show up as control gaps and audit findings. 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.
