Episode 67 — Implement AI architecture protections for identity, secrets, and isolation (Task 10)
This episode teaches how to implement core architecture protections around identity, secrets, and isolation, because AAISM scenarios frequently test whether you can prevent compromise paths that start with credentials and end with data exposure or model misuse. You will learn how to apply least privilege to service accounts and users, how to manage keys and tokens with rotation and scoped permissions, and how to isolate environments and workloads so a failure in one area does not spill into others. We walk through examples like separating training from inference, limiting lateral movement from an AI endpoint, and ensuring secrets never live in code or prompts. Troubleshooting focuses on the most common causes of AI security failure: shared credentials, uncontrolled key distribution, and weak isolation that turns a small mistake into a broad incident. 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.
