Episode 21 — Refresh training when threats, tools, and regulations change (Task 21)
This episode focuses on Task 21 by showing how to refresh AI security training as threats, tools, and regulations evolve, because AAISM questions often reward the choice that sustains secure behavior over time rather than treating training as a one-and-done compliance step. You’ll learn how to define refresh triggers such as new AI features, vendor model updates, changes in data sources, emerging misuse patterns like prompt injection, and new regulatory expectations that expand documentation or transparency duties. We’ll walk through a scenario where a team shifts from internal-only AI use to customer-facing deployment, and you’ll practice deciding what must change in training content, who must be re-trained, and what evidence must be captured to prove completion and effectiveness. Best practices include role-based refresh cycles, short reinforcement messages tied to real workflows, and feedback loops that use incident learnings and audit findings to update content in measurable ways. 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.
