Episode 68 — Integrate AI architecture into enterprise architecture without shadow systems (Task 11)
This episode explains how to integrate AI architecture into enterprise architecture so AI systems inherit proven controls instead of becoming shadow systems, which AAISM tests through scenarios involving inconsistent standards and unmanaged deployments. You will learn how to align AI components with approved platforms, identity patterns, network segmentation, logging pipelines, and change management so governance remains enforceable. We use a scenario where a team builds an AI workflow outside normal enterprise patterns to move faster, then show how that choice creates blind spots in monitoring, incident response, and audit evidence. Troubleshooting focuses on practical integration issues such as mismatched tooling, unclear ownership between architecture and engineering teams, and exceptions that accumulate until AI security becomes unmanageable. 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.
