Organizations deploying AI agents at scale lack adequate identity and access management infrastructure designed for non-human, short-lived, and massively parallel agent identities—projected to exceed 45 billion by 2026. Existing IAM tools were built for human users and cannot handle agent credential rotation, authorization scoping, inventory visibility, or rogue agent detection at this scale. No marketplace or coordination layer exists to standardize agent identity provisioning, audit, and revocation across heterogeneous deployment environments.

Organizations have no way to provision, scope, audit, or revoke identities for ephemeral AI agents at scale — existing IAM was built for humans with long-lived sessions, not millions of short-lived parallel machine identities.

Platform engineering and security teams at enterprises deploying 100+ AI agents across multiple frameworks, clouds, and internal tools.

Companies already pay $5-50K/yr for machine identity tools like HashiCorp Vault and CyberArk — but these weren't designed for agent-specific patterns (ephemeral spawning, delegation chains, capability scoping); the gap is acute and compliance-blocking as agent deployments scale from pilots to production.

MVP is an open-source agent identity server with SPIFFE-compatible short-lived certs, a lightweight SDK for agent frameworks (CrewAI, LangGraph, AutoGen), and a dashboard showing real-time agent inventory with anomaly flags — ship as a self-hosted binary with a managed SaaS tier.

Machine identity management is a $2B+ market growing 25%+ YoY; agent-specific IAM is a greenfield wedge that could capture $500M+ as non-human identities overtake human ones by 10-100x within 3 years.