Blended Identity refers to a modern identity model for user-driven AI agents in which the agent operates using a composite identity derived from two simultaneous sources of trust:
The agent’s own workload identity (cryptographically verifiable, rooted in a trust provider), and
The identity of the human user currently engaging or instructing the AI agent.
The combination produces a dynamic, runtime-only identity that shapes what the agent can do, enforces least privilege, and preserves full accountability for user-initiated actions taken by the agent.
What makes Blended Identity unique is that, although anchored in workload identity, it must also integrate with an enterprise’s workforce identity system to generate this composite identity just-in-time at the moment of invocation.