Episode 19 — Create acceptable use guidelines that reduce risky AI behavior (Task 21)
This episode shows how acceptable use guidelines for AI reduce operational risk by setting clear boundaries on tools, data, prompts, outputs, and escalation, and how AAISM questions test your ability to choose controls that change user behavior. You will learn what to include, such as prohibited data types, approval requirements for external AI services, handling of generated content, and reporting expectations when outputs look wrong or unsafe. We walk through scenarios like employees pasting sensitive data into a public tool or using model outputs as authoritative decisions, then translate each into guidance and guardrails that are realistic to enforce. Troubleshooting focuses on why guidelines fail, including vague language, no training, and no monitoring, and how to design measurable compliance checks. 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.
