Episode 19 — Create acceptable use guidelines that reduce risky AI behavior (Task 21)
This episode focuses on Task 21 by showing how acceptable use guidelines reduce risky AI behavior in a way that is enforceable and measurable, which is exactly how AAISM frames human-driven risk as part of AI security management. You’ll define what acceptable use must address: what tools and systems are approved, what data is prohibited from input, how outputs may be used in decisions, and what oversight is required for high-impact contexts such as customer communications, hiring, finance, or safety. We’ll explore scenarios like employees pasting sensitive incident details into a public assistant, teams relying on unverified AI output for technical changes, and users attempting to bypass guardrails through prompt manipulation, then translate each scenario into guideline language and escalation paths. Troubleshooting covers how to avoid vague “be careful” rules by tying guidance to data classification, logging, access control, and disciplinary processes that align with governance expectations. 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.
