Episode 15 — Write AI security policies people can follow without guessing (Task 2)
This episode teaches how to write AI security policies that are usable in daily work, aligning to Task 2 and preparing you for AAISM questions where the “best” option is the one that reduces ambiguity, assigns responsibility, and can be enforced and audited. You’ll learn the difference between policy intent and operational direction, and how to write policy statements that clearly define scope, required behaviors, prohibited behaviors, and escalation paths for exceptions. We’ll use scenarios like allowing internal use of public generative AI tools, permitting model fine-tuning on company data, and integrating AI outputs into customer communications to show how policy language must address data handling, access control, logging, human oversight, and content safety. Troubleshooting focuses on policy failures that exams love to expose: vague “should” language, missing definitions, conflicts with enterprise standards, and policies that ignore the AI lifecycle and change control. 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.
