Episode 20 — Build AI security awareness training that sticks in daily work (Task 21)
This episode builds on Task 21 by teaching how to create AI security awareness training that changes daily behavior, because AAISM expects you to reduce human-driven exposure through repeatable learning, not one-time policy acknowledgements. You’ll define the training outcomes that matter for the exam and for real operations: recognizing sensitive data, using approved tools, validating outputs before acting, escalating suspected misuse, and understanding how prompts and outputs can become records that create legal and privacy exposure. We’ll use realistic workplace moments—drafting emails, summarizing meetings, generating code, and handling customer chats—to show how training should target the exact decisions people make, including how to avoid prompt leakage, how to handle confidential context, and how to spot unsafe automation. Troubleshooting focuses on measuring effectiveness with evidence, reinforcing training through governance routines, and ensuring role-based training matches risk and authority levels. 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.
