Understanding Agentic Identity
Learn how agentic identity differs from traditional human IAM and static machine identity.
What Is Identity for AI?
Identity for AI refers to the frameworks, protocols, and controls that manage how AI agents (non-human actors capable of autonomous or delegated action) are authenticated, authorized, and governed across digital systems.
Agentic identity is not a repackaging of machine identity. It accounts for agency, intent, and decision-making autonomy. These agents don't just execute code. They interact, reason, and perform tasks across workflows and APIs, often acting on behalf of users or the enterprise itself.
Agentic Identity vs. Machine Identity and Human IAM
Traditional IAM focuses on protecting systems from humans, but agentic IAM must govern non-human actors that are increasingly intelligent, autonomous, and interactive. Agentic identity introduces a new category of digital identity, blending characteristics of both human and machine identities but introducing unique challenges due to the autonomy and decision-making power of AI agents.
- Who: AI agents (autonomous or delegated actors).
- Auth Mechanisms: OAuth 2.0, DCR, mTLS, assertion grants.
- Behavior: Adaptive, context-driven, goal-oriented (unlike static scripts).
- Delegation: Scoped, authenticated delegation.
- Oversight: Human-in-the-loop, dynamic monitoring, audit trails.