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Token Security Sees Triple-Digit Growth in 2025 Amid Agentic AI Risks


Token Security Sees Triple-Digit Growth in 2025 Amid Agentic AI Risks
  • by: Source Logo
  • |
  • January 15, 2026

Token Security, the leader in identity-first AI security, reported strong market momentum and triple-digit growth throughout 2025. This surge was fueled by accelerating enterprise adoption of agentic AI, cloud automation, and autonomous workloads, which has dramatically increased the volume and risk of non-human identities (NHIs) and AI agents—now outnumbering human identities by significant margins and emerging as one of the largest, least-governed attack surfaces in modern enterprises.

Quick Intel

  • Token Security achieved triple-digit growth in 2025 driven by demand for agentic AI and non-human identity security.
  • NHIs, including AI agents and service accounts, now outnumber human identities, creating a major, under-governed attack surface.
  • Leading customers include Bloomreach, HiBob, BetterHelp, and Dayforce, adopting Token Security to manage secure AI adoption.
  • The company closed a $20M Series A funding round, validating the market need for dedicated NHI and AI agent governance.
  • Innovations include AI-driven discovery, agent identity lifecycle management, and least-privilege enforcement for machine identities.
  • Token Security published the AI Security Guide: A Maturity Model for Secure Agentic AI Adoption and launched Token Research division.

The Rise of Non-Human and Agentic AI Identities

“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.”

Traditional identity and access management (IAM) approaches fall short when applied to machine identities that operate at scale, make decisions, chain workflows, and interact with APIs without human intervention. Token Security’s machine-first and AI-native architecture treats identity as a runtime control plane, enabling continuous visibility, least-privilege enforcement, and lifecycle governance tailored to the speed and autonomy of AI agents.

“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.”

Key 2025 Milestones and Innovations

Token Security delivered market-first capabilities in 2025, including:

  • Commercial and open-source tools for AI-driven discovery, lifecycle management, and least-privilege enforcement of AI agents and machine identities.
  • The AI Security Guide: A Maturity Model for Secure Agentic AI Adoption, developed with CISOs and security leaders to guide responsible AI deployment.
  • Launch of Token Research, a dedicated division focused on uncovering emerging risks in AI agent and NHI ecosystems, contributing findings to the broader security community.

The company also earned recognition as one of The Information’s “50 Most Promising Startups of 2025,” highlighting its leadership in securing the fast-emerging category of agentic AI and non-human identities.

Positioned for 2026 Growth

As agentic AI adoption continues to surge and regulatory scrutiny intensifies around AI governance and compliance, Token Security enters 2026 at the forefront of this critical security discipline. The company’s solutions help enterprises achieve secure, controlled AI operationalization by eliminating blind spots, enforcing least privilege, and maintaining governance over identities that power modern business workflows.

About Token Security Token Security accelerates secure enterprise adoption of Agentic AI by discovering, managing, and governing every AI agent and non-human identity across the organization. From continuous visibility to least-privilege enforcement and lifecycle management, Token Security provides complete control over AI and machine identities, eliminating blind spots, reducing risk, and ensuring compliance at scale.

  • Agentic AIAI SecurityCybersecurityEnterprise AI
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