Episode 69 — Align AI architecture with enterprise identity, network, and data standards (Task 11)
This episode teaches how to align AI architecture with enterprise identity, network, and data standards, because AAISM expects you to treat AI as part of the environment, not a separate universe with custom rules. You will learn how to enforce identity standards like centralized authentication and role-based access, apply network standards like segmentation and controlled egress, and adopt data standards like classification-driven access and retention. We use examples such as controlling which data sources retrieval can access, ensuring inference logs follow retention rules, and routing telemetry into existing monitoring platforms. Troubleshooting focuses on drift between “approved architecture” and what actually runs in production, including undocumented exceptions, vendor features enabled without review, and data pathways that bypass normal controls and governance oversight. 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.
