Episode 86 — Audit least privilege for pipelines, service accounts, and model endpoints (Task 16)
This episode focuses on auditing least privilege in the places where AI systems most often break it: pipelines, service accounts, and model endpoints. You’ll learn how “too much access” creates unique AI risk, such as unauthorized dataset changes, silent model swaps, tampering with thresholds, or abuse of inference APIs to extract sensitive behavior and outputs. We’ll cover how to test least privilege by examining role design, permission scopes, separation between development and production, and whether service accounts are tightly constrained with short-lived credentials and strong logging. You’ll also learn practical audit steps, such as sampling recent pipeline runs and deployments to verify approvals, checking endpoint policies for rate limits and authentication strength, and validating that privileged actions generate alerts and are reviewed. By the end, you should be able to choose AAIA answers that enforce least privilege with measurable controls and evidence, rather than assuming “we use RBAC” automatically means access is safe. 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.
