OAuth delegation and identity management for AI agents

AIThis description was written by a model from public signals. The facts behind it are listed under Evidence.

Problem

Enterprise teams deploying AI agents face three critical infrastructure gaps: agents can't be given scoped, revocable access to services without sharing full user credentials; identity and authorization systems remain fragmented across tools and platforms; and there is no centralized way to approve tool access or audit agent actions across the organization.

Solution concept

A purpose-built identity and authorization infrastructure for agents that enables granular, time-bound delegation of access; bridges fragmented corporate identity systems; and provides centralized approval workflows and audit logging for all agent-service interactions, without requiring agents to handle OAuth plumbing themselves.

Who has it

Enterprise engineering teams and platform teams building or deploying AI agents that need to delegate work to LLMs and agentic systems in corporate environments with multiple connected services.

How they handle it today

Today, teams either grant agents full user credentials (a security risk), manually manage tokens across systems (fragmented and error-prone), or lack centralized audit trails and approval controls for agent actions across services.

Why now

IETF standards for agent identity are still being finalized, and vendors have not yet turned necessary infrastructure into off-the-shelf products. Corporate deployment of agents is moving faster than standardized infrastructure, creating urgent need for interim solutions.

How it could charge

Subscription pricing based on number of agents managed, number of services integrated, or team/organization size; or infrastructure licensing model similar to API gateway products.