Token Security Sees Rapid 2025 Growth as Enterprises Secure Agentic AI

Why It Matters

Enterprise security teams face an expanding, poorly governed attack surface as AI agents proliferate, making dedicated NHI protection essential for risk mitigation and compliance.

Key Takeaways

• AI agents outnumber human identities in enterprises
• Token Security raised $20M Series A funding
• New tools provide AI-driven identity discovery
• Bloomreach, HiBob, BetterHelp adopt Token Security
• Continuous runtime governance secures machine identities

Pulse Analysis

The rise of non‑human identities (NHIs) – service accounts, APIs, and autonomous AI agents – has fundamentally altered the enterprise attack surface. Recent surveys show NHIs now outnumber human users by orders of magnitude, creating a governance gap that traditional IAM tools cannot fill. As organizations embed AI agents into critical workflows, the need for real‑time visibility and control over these identities has become a top priority for security and cloud teams. This shift has sparked a new security discipline focused exclusively on machine‑first identity management.

Token Security has positioned itself at the forefront of this discipline. In 2025 the company closed a $20 million Series A round, underscoring investor confidence in dedicated NHI protection. Its product suite now includes AI‑driven discovery, lifecycle management, and least‑privilege enforcement designed for autonomous agents that act at machine speed. By treating identity as a runtime control plane rather than a static credential, Token Security enables continuous oversight of creation, usage, and retirement of both traditional machine identities and emerging AI agents.

The market response validates the approach: firms such as Bloomreach, HiBob, BetterHelp and Dayforce have deployed Token Security to secure their AI workloads. Industry recognition—including placement on The Information’s “50 Most Promising Startups of 2025”—signals broader acceptance of machine‑first IAM as a critical control layer. As AI adoption accelerates through 2026, enterprises that embed these governance capabilities will reduce breach risk, meet compliance demands, and unlock the full productivity potential of autonomous agents.