NOMINATION HIGHLIGHTS

Enterprises are rapidly embedding AI agents into workflows, from DevOps pipelines to customer operations, but lack controls to manage them like human identities. Without discovery, control and governance, shadow AI becomes a major cybersecurity concern leading to autonomous entities with persistent credentials, expanding privileges, and no accountable owner. Token Security is securing this new frontier of enterprise risk.

Token Security is the first AI-native, machine-first platform purpose-built to govern and secure both AI agents and Non-Human Identities (NHIs). By continuously discovering every agent and credential across clouds, SaaS, CI/CD, and on-prem systems, the Token Security Platform builds a dynamic NHI Risk Graph™ that maps ownership, permissions, dependencies, and runtime behavior for each AI agent. This context enables confident, automated remediation, safely rotating keys, revoking stale access, and enforcing least privilege across dynamic, AI-driven environments.

Key innovations include:

• AI Agent Lifecycle Governance: Governs the complete agent lifecycle, from discovery to retirement, to prevent ghost or orphaned AI agents.
• Privilege Right-Sizing: Detects and mitigates risky privilege combinations between agents and the systems they can access, before they can be exploited.
• AI-Native Identity Detection and Response (IDR): Monitors agent behavior in real time to surface anomalies and enforce policy compliance.
• Model Context Protocol (MCP) Integration: Allows GenAI and AI agents to query the Token Security Platform for identity intelligence and remediation, enabling secure, AI-assisted SecOps.

Global enterprises across financial services, healthcare, and SaaS industries rely on Token Security to enable identity-first AI adoption. One Fortune 100 financial institution secures more than 180,000 NHIs and AI agents across AWS, Azure, and on-prem systems, achieving audit-ready visibility while maintaining operational agility and control.

In a recent On the Radar report, analyst firm Omdia recognized Token Security for pioneering AI-driven SecOps through its Model Context Protocol (MCP) integration. The report highlights how AI agents can interact directly with the Token Security Platform’s identity intelligence for automated governance and remediation, positioning the company at the forefront of AI-native identity security.

Token Security is establishing the control plane for agentic AI, where governance, visibility, and automation converge to keep every AI agent accountable, auditable, and secure.