Agent frameworks provide no real-time mechanism for platforms or users to distinguish agent-initiated from human-initiated actions, revoke delegated authority mid-transaction, or enforce time-bounded permission scopes by default. This creates a fundamental governance gap: once authority is granted, it cannot be selectively or immediately withdrawn, and no audit trail exists to reconstruct the chain of delegation after the fact. Legal ambiguity around agent-executed transactions is compounding the urgency as courts begin adjudicating these gaps.

Once an AI agent receives delegated authority, there's no way to revoke it mid-transaction, enforce time-bounded scopes, or audit the delegation chain — creating legal liability and security gaps that are already being litigated.

Platform engineering leads and compliance officers at companies integrating AI agents into workflows that touch financial transactions, customer data, or regulated operations.

Enterprises are halting agent deployments due to unresolvable compliance and liability concerns; adjacent spend on API gateway auth (Kong, Auth0) and audit logging (Datadog, Splunk) proves budget exists for infrastructure-layer trust controls.

Ship a lightweight middleware SDK (proxy layer) that wraps agent API calls with real-time permission policies (time-bounded, action-scoped, revocable tokens) and emits an immutable delegation audit log — integrate first with LangChain, CrewAI, and OpenAI function-calling.

Subset of the $15B+ API security and identity governance market, with a directly addressable segment of ~$2B as agent-mediated transactions scale across fintech, healthtech, and enterprise SaaS.