Multi-agent pipelines have no OAuth-equivalent primitive for recording, scoping, and revoking authorization as actions are delegated down a chain. Existing IAM, CASB, and SIEM tooling cannot distinguish agent-initiated actions from user-initiated ones, leaving compliance and audit trails broken by design. As agent chains grow longer and more autonomous, the absence of a consent and revocation layer becomes a systemic liability rather than an edge case.

Multi-agent pipelines lack a standard way to scope, trace, and revoke permissions as tasks cascade between agents, breaking compliance and audit trails that existing IAM/SIEM tools can't fix.

Platform engineers and security teams at companies deploying multi-agent workflows (AI-native startups, enterprises adopting agent orchestration like CrewAI/AutoGen/LangGraph).

Enterprises cannot put agentic systems into production without auditable authorization chains — this is a literal deployment blocker for regulated industries, and no standard exists today; teams are hand-rolling fragile workarounds.

MVP is an open-source delegation token spec (JWT-like with chain-of-custody, scope narrowing, TTL, and revocation) plus a lightweight sidecar/SDK that intercepts agent-to-agent calls to mint, validate, and log tokens — integrate first with LangGraph and CrewAI.

Subset of the $20B+ IAM market repriced for agentic compute; every company running multi-agent systems (thousands today, millions within 2 years) needs this layer.