With the Exponential Growth of AI Agents and Non-Human Identities, Industry Leaders Turn to Token Security, Driving Adoption, Demand, and Revenue Growth
Token Security, the leader in identity-first AI security, today announced strong market momentum throughout 2025, driven by enterprise AI adoption, continuous product innovation, and industry recognition. The company achieved triple-digit growth as cybersecurity, IAM, and cloud teams raced to gain visibility, control, and governance over the fastest-growing attack surface in their enterprise: Agentic AI.
As organizations accelerate adoption of cloud automation, service accounts, APIs, and autonomous AI agents across business-critical workflows, NHIs now outnumber human identities by staggering ratios and have quietly become one of the largest yet least-governed attack surfaces in the enterprise. This is why AI-forward companies such as Bloomreach, HiBob, BetterHelp, and Dayforce have chosen Token Security to help them securely manage their AI adoption.
“2025 was the year non-human identity risk stopped being theoretical, with AI agents, service accounts, and machine credentials outnumbering human users by orders of magnitude,” said Itamar Apelblat, CEO and Co-Founder of Token Security. “At the same time, enterprises recognized that identity programs designed for people simply can’t govern identities that act autonomously and at machine speed.”
Token Security also expanded its technology leadership in 2025 with innovations focused on visibility, lifecycle management, and least-privilege enforcement for both traditional machine identities and emerging agentic AI workloads. These capabilities help organizations move from static configuration reviews to continuous oversight of how non-human and AI agent identities are created, used, and retired.
“Traditional IAM fails because it treats machines like people. We built Token machine-first and AI-native to secure the speed and scale of today’s autonomous agents,” said Ido Shlomo, CTO and Co-Founder of Token Security. “AI agents don’t just authenticate, they take action, call APIs, chain workflows, and make decisions. Securing them requires treating identity as a runtime control plane, not a one-time configuration. That’s the architectural shift we are addressing.”
2025 Highlights
Beyond customer adoption, Token Security contributed to broader industry understanding of NHI and AI agent risk through technical research, open source tools, and collaboration with CISOs and cloud security leaders. This work helped shape emerging best practices around ownership, privilege boundaries, and lifecycle governance for identities that don’t fit traditional human models. The company’s milestones included:
- Closed a $20M Series A funding round, validating the market need for dedicated governance of non-human identities and AI agents as a distinct security discipline
- Delivered market-first commercial and open source innovations to discover, govern, and lifecycle-manage AI agents and machine identities, including AI-driven discovery, agent identity lifecycle management, and least-privilege enforcement
- Published the AI Security Guide: A Maturity Model for Secure Agentic AI Adoption, developed in collaboration with CISOs and security leaders to help enterprises operationalize AI safely and responsibly
- Launched Token Research, a dedicated research division focused on uncovering emerging risks and vulnerabilities in AI agent and machine identity ecosystems, contributing technical findings to the broader security community
- Named one of The Information’s “50 Most Promising Startups of 2025,” recognizing Token Security’s leadership in securing AI agents and NHIs as the category emerges
With non-human and AI agent identity security emerging as a distinct and growing discipline, Token Security enters 2026 positioned at the center of this market shift, helping enterprises safely operationalize AI while maintaining control over the identities that power it.
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