Permission systems grant capabilities incrementally but lack symmetric revocation mechanisms, drift detection, and audit trails, allowing agents to accumulate authority far beyond original intent without any alert or review trigger. Operators have no visibility into cumulative permission expansion, making it impossible to distinguish sanctioned growth from uncontrolled capability creep. No existing framework treats permission state as a first-class observable with threshold governance.

Agents silently accumulate permissions over time with no drift detection, revocation symmetry, or audit trail — operators can't distinguish intentional capability growth from dangerous creep.

Platform engineering and security teams at companies deploying 10+ AI agents across production systems (SaaS, fintech, DevOps).

Enterprises already pay heavily for IAM, CSPM, and cloud drift detection (Wiz, Lacework, HashiCorp Sentinel) — agent permissions are the next ungoverned attack surface, and compliance teams will mandate tooling as agent deployments scale this year.

MVP is a lightweight sidecar/webhook listener that ingests permission grant events from common agent frameworks (LangChain, CrewAI, AutoGen, custom OAuth/API-key stores), builds a permission graph over time, computes drift scores against baseline snapshots, and fires alerts when thresholds are breached — ship with a dashboard and Slack/PagerDuty integration.

Subset of the $18B cloud security and IAM market; agent-specific governance alone is a $500M+ wedge as every enterprise deploying agents will need this within 2 years.