For two years, enterprise software has been valued under a single reductive narrative: autonomous AI agents will displace knowledge workers, eroding per-seat subscription models across SaaS. This fear compressed valuation multiples across the entire sector, including subsegments where the underlying economic logic operates in reverse. Identity security software is not billed per human head count; it is monetized per identity, per workload, and per network flow. AI agents do not reduce addressable identity units-they multiply them exponentially. Every deployed agent represents a new service account, new API keys, non-human OAuth tokens, and elevated permissions that enterprise IT must provision, restrict, rotate, and audit.
The scale of non-human exposure was severe even prior to agentic workflows: CyberArk research indicated that enterprises average over 80 machine identities per human employee, with the vast majority holding access to sensitive data stores without programmatic governance. The 2025 Salesloft Drift breach demonstrated the systemic consequence: compromised OAuth tokens from a single integration provided unauthorized access to data across ~700 organizations, including leading cybersecurity firms themselves. The vulnerability was not human phishing, but unmanaged machine credentials-precisely the attack surface that AI agents are expanding at scale.