Organizations deploying AI agents lack standardized tools to enumerate, audit, and govern non-human identities and their access scopes within their own environments. No widely adopted framework exists to inventory agent credentials, track dynamic privilege requests, or enforce least-privilege access for agents at runtime. This creates a critical security gap where perceived readiness for AI automation dramatically outpaces actual visibility and control.

Organizations have no centralized way to discover, inventory, and enforce least-privilege access for AI agents operating across their environments, creating a massive shadow-IT-scale security blind spot.

CISOs and platform security teams at mid-to-large enterprises (500+ employees) actively deploying or piloting AI agents across engineering, support, and ops.

Enterprises already pay $50-200K+/yr for human identity governance (Okta, SailPoint, CyberArk); as agent deployments explode in 2024-25 with zero equivalent tooling, security teams are desperate for a non-human identity plane before their next audit or breach.

MVP: an agent discovery scanner (API key, OAuth client, service account enumeration across major clouds + SaaS), a live registry with permission graphs, and a policy engine for least-privilege alerts — integrate with existing IdPs via SCIM/OIDC and ship as SaaS with a Terraform-style declarative config.

The Identity Governance & Administration market is ~$8B today; the non-human identity segment (service accounts, API keys, agents) is the fastest-growing slice, easily $2B+ within 3 years as every enterprise AI deployment needs it.