Episode 20 — Build AI security awareness training that sticks in daily work (Task 21)
This episode teaches how to design AI security awareness training that changes day-to-day decisions rather than only satisfying a checkbox, which AAISM scenarios often evaluate through effectiveness, coverage, and reinforcement. You will learn to tailor training to roles, focusing on the specific mistakes each group can realistically make, such as developers mishandling secrets in pipelines, analysts over-trusting outputs, or business users sharing sensitive data. We cover practical reinforcement techniques like short refreshers, just-in-time prompts, and incident-based learning, along with how to measure effectiveness using metrics that show reduced risky behavior. Troubleshooting includes recognizing training that is too generic, too infrequent, or not aligned to policies, and selecting exam answers that prioritize measurable outcomes and accountability. 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.
