74% of organizations already have AI agents operating with live credentials, yet 92% cannot rotate those credentials on a standard cycle, and some organizations cannot determine whether agentic AI is even running. No operational layer bridges human identity management and agent credential governance, leaving a dangerous blind spot as non-human identities proliferate. Existing IAM frameworks were not designed for agents that reason dynamically and require mid-task policy adjustments.
Organizations cannot discover, inventory, or govern AI agents operating with live credentials in their environment, creating massive security blind spots as non-human identities proliferate beyond existing IAM frameworks.
CISOs and identity/security teams at mid-to-large enterprises (1000+ employees) already using AI agents or copilots with API keys, service accounts, and OAuth tokens.
Enterprises already pay $5-15/identity/month for human IAM (Okta, SailPoint); agent identities are growing 10x faster than human ones with zero governance tooling, and a single compromised agent credential can exfiltrate entire systems — compliance and breach risk make this an immediate budget line item.
MVP: lightweight agent discovery scanner (network traffic analysis + API gateway log ingestion + secret vault integration) that builds a live registry of all non-human identities, maps their permissions, and enforces credential rotation policies — ship as a SaaS dashboard with Okta/Entra ID and HashiCorp Vault integrations first.
Non-human identity management is a nascent $2B+ segment within the $20B+ IAM market, growing rapidly as every enterprise deploys dozens to thousands of AI agents.
Agent-based crawlers continuously discover and classify non-human identities, AI policy engines auto-generate and enforce least-privilege rules and rotation schedules; humans are limited to setting governance policies, reviewing escalations, and board-level risk decisions.
Load the skill and apply to be incubated — token launch + $5k grant for accepted companies.