Runtime identity for AI agents: what changes for governance?

TL;DR: Know Your Agent (KYA) shifts AI agent governance from registration-time checks to runtime authentication and authorization, tying consequential actions to a verified human owner and a cryptographic audit trail, according to 1Kosmos. The core issue is assumption collapse: traditional IAM assumes access can be validated once and remain stable, but autonomous agents decide and act at execution time.

NHIMG editorial — based on content published by 1Kosmos: Know Your Agent, runtime identity, and AI agent authorization

Questions worth separating out

Q: How should security teams govern AI agents that can make runtime decisions?

A: Security teams should govern AI agents at the moment of execution, not only at registration.

Q: Why do autonomous agents break traditional NHI controls?

A: Autonomous agents break traditional NHI controls because they do not follow a fixed script.

Q: What is the main failure mode when AI agent credentials are too broad?

A: The main failure mode is scope drift, where the agent discovers or inherits authority beyond the task it was meant to perform.

Practitioner guidance

• Map which agent actions require runtime approval Classify agent operations by consequence, not by workload type.
• Replace persistent agent secrets with time-bound credentials Eliminate long-lived API keys for AI agents where possible and issue scoped credentials with explicit expiry, issuer attribution, and environment constraints.
• Bind each agent to a named human owner Require every production agent to have a current accountable owner and an offboarding path.

What's in the full article

1Kosmos's full article covers the operational detail this post intentionally leaves for the source:

• The runtime authorization flow at the MCP layer, including how the policy engine intercepts tool calls before execution.
• The credential structure for verifiable credentials, including issuer identity, environmental context, and validity windows.
• The step-up approval flow for high-risk agent actions, including biometric verification and approval logging.
• The incident examples and product-specific implementation details that show how the model is applied in practice.

👉 Read 1Kosmos's analysis of Know Your Agent and runtime AI identity controls →

Runtime identity for AI agents: what changes for governance?

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