Episode 69 — Govern Generative AI Use: Content Risk, Brand Risk, and Leakage Risk (Domain 3)
Generative AI introduces a unique set of risks—including content hallucinations, brand damage, and accidental data leakage—that require specialized governance in Domain 3. This episode explores the policies and technical controls needed to manage the use of Large Language Models (LLMs) and image generators across the enterprise. For the AAIR exam, candidates should know how to implement "user-in-the-loop" requirements for AI-generated content and the use of watermarking to distinguish between human and machine-made assets. We discuss the risk of employees entering sensitive corporate data into public AI tools and the necessity of providing "enterprise-grade" alternatives that offer data isolation. Best practices include establishing a "permitted use" registry for generative tools and conducting regular training on the limitations of AI-generated outputs. By governing generative AI with precision, organizations can harness its creative potential while mitigating the significant risks to their brand integrity and data security. 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.
