Episode 24 — Keep the AI inventory accurate with routine governance checks (Task 13)
This episode shows how to keep an AI inventory accurate over time, because AAISM expects you to treat inventory as a living control rather than a one-time project. You will learn governance routines that maintain accuracy, including onboarding checklists for new models and vendors, periodic attestations by owners, change-management hooks that require inventory updates, and automated discovery signals where possible. We walk through scenarios like a team quietly switching model providers, adding new data sources, or deploying a new endpoint, and we explain how routine checks catch these changes before they become unmanaged risk. Troubleshooting includes warning signs such as inventory fields that are always blank, ownership that is outdated, and review cycles that do not match the speed of AI changes, all of which lead to poor incident response and weak audit defensibility. 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.
