Token Security
Token Security protects AI agents and non-human identities with identity discovery, least-privilege access, threat detection, and security controls for AI-driven environments.
Token Security is an identity-first cybersecurity platform designed to secure Non-Human Identities (NHIs), machine identities, and autonomous AI agents. It helps organizations understand and control how AI agents, applications, credentials, and other machine identities access enterprise systems.
The platform focuses on the identity control plane rather than relying only on traditional security controls. It uses intent-based security to identify unusual access, enforce least-privilege permissions, and reduce risks caused by compromised credentials, shadow AI, and unmanaged machine identities.
How Token Security Works
- Discover: Token Security scans cloud infrastructure, applications, and development environments to identify AI agents, machine identities, API keys, and MCP servers.
- Map: It creates an identity graph connecting agents, credentials, permissions, owners, and data resources.
- Understand: The platform compares an AI agent's intended purpose with its actual behavior and access patterns.
- Authorize: Token Security evaluates access requests based on context and the agent's approved intent.
- Enforce: It blocks actions that fall outside permitted boundaries and helps maintain least-privilege access.
- Monitor: Security teams can continuously monitor identities and investigate suspicious activity or potential identity threats.
How We Rated Token Security
We rated Token Security based on its AI agent security capabilities, NHI discovery, identity visibility, least-privilege controls, threat detection, and enterprise scalability. Its focus on securing autonomous AI and machine identities makes it a relevant platform for modern identity security.
Pros
- Designed specifically for non-human identities and AI agents.
- Helps eliminate shadow AI and unmanaged machine identities.
- Supports intent-based least-privilege security.
- Provides visibility into AI agents and MCP servers.
- Helps reduce credential and access-related risks.
- Maps identity relationships and potential security impact.
Cons
- Relatively new compared with established cybersecurity platforms.
- Enterprise deployments may require extensive integrations.
- May overlap with existing IAM, secrets management, or CNAPP tools.
- Pricing is not publicly standardized.
Token Security is best suited for:
- Enterprise security teams.
- Organizations deploying autonomous AI agents.
- Cloud and DevOps teams.
- Security operations teams.
- Companies managing large NHI environments.
- Businesses concerned about AI agent access and identity risks.
You should choose Token Security if you want to:
- Secure AI agents and non-human identities.
- Discover hidden or unmanaged machine identities.
- Enforce least-privilege access for AI agents.
- Monitor AI agent behavior and identity activity.
- Reduce risks from compromised credentials.
- Secure AI and MCP-based environments.
- Understand the potential impact of identity-related threats.
Token Security's Key Features
AI agent and NHI discovery.
Intent-based access control.
Least-privilege enforcement.
Machine identity lifecycle management.
AI agent and MCP server visibility.
Identity intelligence and risk mapping.
Credential and secret monitoring.
Threat and suspicious behavior detection.
Frequently Asked Questions
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Rhea Kapoor
Excellent tool! Saved me hours of work. Highly recommended.
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