Agent Identity

Agentic Identity

Agentic identity refers to the full identity context of an AI agent at execution time, including who initiated the agent, what task it was assigned, what tools it is permitted to call, and what credentials have been derived for the current task.

Why this matters for AI agents

Agentic identity is broader than a simple identifier. It captures the authorization context of an agent in motion, enabling fine-grained access enforcement across tool calls.

How AgntID relates

AgntID builds agentic identity context into every access decision, combining agent principal, task scope, intent signal, and scoped credential into a single enforcement context.

The static IAM gap

IAM tokens represent a principal and a set of permissions but do not carry task context, intent, or runtime scope. Agentic identity requires a richer context model.

Related phrases

agentic identityagent execution contextruntime identity for AI agents

Related terms

Frequently asked questions

What is agentic identity?

Agentic identity refers to the full identity context of an AI agent at execution time, including who initiated the agent, what task it was assigned, what tools it is permitted to call, and what credentials have been derived for the current task.

How is agentic identity different from agent identity?

Agent identity is a unique identifier. Agentic identity is the full execution-time context—including task scope, permitted tools, and scoped credentials—that governs what the agent may do right now.

How does AgntID use agentic identity?

AgntID builds agentic identity context into every access decision, combining agent principal, task scope, intent signal, and scoped credential into a single enforcement context.

Runtime Enforcement

Secure every agent tool call at execution time.

AgntID gives infrastructure teams scoped, ephemeral access control for AI agents without replacing IAM, MCP servers, tools, or agent frameworks.