
Identity-First AI Agent Security
AI agents are quickly becoming first‑class actors in the enterprise, writing code, accessing data, calling APIs, and making decisions at machine speed. Token Security is the AI Agent Security Platform built to give organizations complete confidence in how AI agents are created, governed, and operated without slowing innovation.
Our platform is built on three foundational pillars:
Know Every AI Agent, Everywhere
You can’t secure what you can’t see. Token Security provides deep, continuous visibility into all AI agents across cloud environments, SaaS platforms, internal tools, and custom frameworks.
Discovery and Inventory
Token Security automatically discovers AI agents and MCP servers. This includes:
- Autonomous agents, copilots, and custom GPTs
- Service‑integrated agents and bots
- Agent frameworks and orchestration layers
- The non‑human identities and tokens they use


Over 1,000 Built-In Integrations
Breadth of integrations deliver the deepest enterprise identity visibility to surface what AI agents actually have access to. Integrations include:
- AI Platforms (OpenAI, Anthropic, Bedrock)
- Cloud Providers (AWS, GCP, Azure)
- CI/CD and DevOps Tools
- Identity Providers and PAM
- AppSec, SIEM, CNAPP
- Business Systems
Align AI Agent Access to Intent
By analyzing massive amounts of identity logs and telemetry data, Token Security provides contextual awareness for AI agents, enabling you to understand agent intent, who owns agents, and what agents can access.
Understand Behavior and Access
Go beyond static inventories. Token Security contextually maps how agents actually operate.
- Who owns the agents
- Which APIs, services, and systems they have access to
- What permissions and credentials they rely on
- How they behave over time


Intent-Based Permissioning
Token Security understands AI agent intent to align access with what an AI agent is meant to do.
- Define permissions based on agent purpose and expected actions
- Replace over-scoped credentials with intent-based access
- Automatically enforce least privilege as agent behavior and intent evolve
- Eliminate risky authentication patterns that grant unnecessary access
Accountability and Traceability
In multi-agent ecosystems, Token Security identifies and analyzes AI agent behavior and activity to provide full accountability and traceability of actions.
- Comprehensive logging of AI actions
- Contextual correlation of multi-agent sequences
- Alerting on suspicious agent activity
- Immutable logs for full agent accountability

Set the Rules for AI Agent Governance
As AI agents become core to business operations, security must move from ad‑hoc controls to automated remediation and formal governance based on policies.
Enforce Agent Security Policies
Token Security allows organizations to define and enforce clear policies for AI agent creation, intent, access, and operation, including:
- Approved services and data sources
- Allowed tools and integrations
- Access reviews and automated remediation
- Environmental and runtime constraints

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Compliance and Auditability
Token Security continuously evaluates agents against internal policies and external requirements, providing:
- Ongoing compliance validation
- Clear audit trails of agent actions
- Evidence and forensics for security and risk reviews
One Platform for the AI Agent Era
Token Security unifies Visibility, Control, and Governance into a single platform purpose‑built for AI agents and non‑human identities.
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