Review service accounts, machine identities, secrets, and AI agents to uncover security gaps.

Establish controls and lifecycle management processes to secure and monitor service accounts.

Protect certificates, keys, tokens, and other machine identities that enable trusted system-to-system communication.

Gain visibility into AI applications, agents, and autonomous workflows operating across your environment.

Evaluate identity-related risks associated with AI systems, agents, and emerging AI use cases.

Implement governance frameworks that establish oversight, accountability, and access controls for AI agents.

Apply authentication, authorization, and least-privilege controls to protect AI-powered workloads and services.