The Agent Identity Control Loop
Register, verify, issue, execute, monitor, suspend, review and retire: a lifecycle for keeping machine authority bounded.
Read →Resources
Architecture and operating guidance for AI identity.
Technical perspectives for CISOs, CIOs, identity teams, AI platform owners, cloud engineers, risk leaders, architects and builders.
Persistent Identity for the Agentic Enterprise
How a persistent identifier, short-lived proof and continuous status create a stronger control model for AI agents.
Read →The Six Control Moments of an AI Agent
Request, approve, issue, bind, operate and revoke: a lifecycle for keeping agent identity governed from intent to evidence.
Read →From Access Logs to Evidence Packages
A practical model for turning fragmented runtime data into audit-ready identity, policy, provenance and security evidence.
Read →AI Agent Identity: The Missing Accountability Layer
Why identity must travel with purpose, authority, runtime context and evidence as agents move from prompts to actions.
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