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Infrastructure security

Infrastructure Security for AI Systems

AI security depends on the infrastructure that grants authority, moves data, delivers code, stores secrets, observes behavior, and restores service.

7 minute guide · Updated August 29, 2026

Trace the privileged paths

Map administrative access, workload and service identities, agent credentials, secrets, deployment authority, provider support access, and emergency paths across cloud and network boundaries.

Review the controls that contain consequence

  • Segmentation, least privilege, tenant isolation, secrets handling, and workload identity.
  • Artifact integrity, delivery pipelines, dependency control, secure configuration, and change review.
  • Action-level logging, detection, recovery, revocation, backup, and safe service restoration.

Prioritize exploitable combinations

The most important findings often cross layers: an AI tool with broad identity, weak network boundaries, exposed secrets, limited observation, and a recovery path that has never been tested.

This guide provides general security information. It is not a certification, legal opinion, compliance determination, or guarantee of security.