The Token Security Agentic AI and Non-Human Identity Security Platform
A real-time natural language interface that lets security teams interact with their environment.
Token Security connects with AI, cloud services, CI/CD pipelines, on-prem systems, and more.
Uncover every AI agent and NHI across on-prem, hybrid, and cloud environments.
Enforce ownership and automatically decommission orphaned identities.
Identify permissions drift, right-size access, and eliminate dangerous overexposure.
Detect behavioral anomalies and suspicious activities to respond as they happen.
Trigger intelligent remediation workflows based on dynamic risk thresholds and contextual awareness.
Safely accelerate AI adoption at scale with complete visibility, governance, and control.
Automatically discover and contextually inventory every AI agent and MCP server across your environment.
Assign clear ownership to establish clear accountability.
Continuously evaluate permissions to enforce Role-Based Access Controls (RBAC), least privilege, and just-in-time access.
Log every action taken by an AI agent, providing a forensic audit trail.
Gain visibility and control over identities accessed by suppliers and partners.
Continuously validate every non-human identity, action, and access path.
Simplify audits by continuously monitoring, governing, and remediating non-human identities.
Quickly assess and secure non-human identities across merging environments.
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Restricts users and systems to minimum necessary permissions, reducing attack surface, limiting breaches, and preventing privilege escalation
Centralized, policy-driven authorization evaluating attributes and context to enforce fine-grained, dynamic access decisions across systems
Machine-readable credential enabling secure, scoped, time-bound access to systems, APIs, and services for users and machines
Continuous governance framework ensuring secure, compliant, risk-aligned cloud operations through policies, monitoring, and lifecycle control
Authorization Protocols are standardized frameworks (like OAuth 2.0 and OpenID Connect) that enable applications and services to securely access resources using scoped, time-limited tokens instead of sharing credentials.
Secure Access Management (SAM) is the framework of policies, controls, and technologies that ensure only authorized users and machine identities can access systems, data, and services securely and with accountability.
Continuous Authentication is a security approach that continuously verifies a user’s or system’s identity throughout an active session by analyzing real-time signals and adapting access based on risk.
Cloud Identity Management (Cloud IAM) is the framework of policies, tools, and processes used to manage identities and control access to cloud resources and applications across multi-cloud and hybrid environments.
An access token is a short-lived credential used to securely access APIs and resources without exposing primary credentials.
Adaptive access control makes real-time authorization decisions using risk, context, and identity, dynamically adjusting access to protect systems from misuse.
Attribute-Based Access Control evaluates attributes like user, resource, and context to make dynamic, fine-grained authorization decisions for secure access control.
Adaptive authentication adjusts authentication requirements in real time based on risk signals like user behavior, device, and location to enhance security.
Two-Factor Authentication requires two different verification factors, adding a second layer of security beyond passwords to prevent unauthorized access.
Multi-Factor Authentication requires multiple verification factors to confirm identity, reducing unauthorized access risk and strengthening overall security beyond passwords alone.
Authorization determines what an authenticated identity can access by evaluating policies, ensuring least-privilege permissions, and protecting systems from unauthorized actions.
Verifies identity of users or machines before access, ensuring secure login using credentials, tokens, or multi-factor authentication.
Controls and policies governing who or what can access AI models, data, and services, ensuring secure, auditable, least-privilege usage.
Non-human identity enabling applications and automated systems to securely authenticate, access resources, and execute tasks without human intervention.
Time-bound signed URI granting scoped Azure resource access without exposing account keys; enables secure temporary delegation with controlled permissions.
Manages issuing, rotating, and revoking credentials across their lifecycle to reduce risk, enforce security, and enable rapid incident response.
Identity layer on OAuth 2.0 that authenticates users using ID tokens, enabling secure, standardized login and federated identity across applications and services.
Authorization framework enabling secure, scoped access to resources without sharing credentials, using tokens to enforce least privilege and support delegated API access.
Security practice of rotating refresh tokens on each use, invalidating old ones to prevent reuse, limit attacker persistence, and detect token theft.
Uncontrolled spread of sensitive credentials across systems, increasing exposure risk, complicating management, and enabling unauthorized access through leaked or hardcoded secrets.
Temporary authentication tokens that expire quickly, limiting exposure from leaks, reducing attack windows, and preventing persistent unauthorized access across systems.
Manages API key lifecycle—creation, rotation, and revocation—ensuring secure machine-to-machine access, reducing credential sprawl, and preventing unauthorized API usage and breaches.
Requires continuous verification of every access request, enforcing least privilege and eliminating implicit trust across users, devices, and networks in modern environments.
Grants temporary, task-specific access that automatically expires, reducing standing privileges, limiting attack windows, and enforcing least privilege across users and systems.
Assigns permissions to roles based on job functions, simplifying access management, enforcing least privilege, and improving scalability and auditability across systems.
Access token that grants API access to anyone who holds it, requiring secure handling, short lifetimes, and protection to prevent misuse, theft, and unauthorized access
Uses stolen username-password pairs to automate logins across sites, exploiting password reuse to enable account takeovers, fraud, and unauthorized access at scale
Analyzes and manages cloud permissions across identities to enforce least privilege, reduce attack surface, and prevent misuse of excessive or unused entitlements in multicloud environments
Digital identities for machines and services used to authenticate and access systems, requiring lifecycle management to reduce risk, prevent misuse, and control automated interactions
Controls identities and access using authentication and authorization to ensure secure, least-privilege access, reduce risk, and manage lifecycle across users, services, and systems
Autonomous AI systems that plan and act across tools using credentials, requiring strict governance, least privilege, and monitoring to prevent misuse, data leaks, and security risks
Manages identity lifecycles, access policies, and audits to ensure proper entitlements, reduce risk, enforce compliance, and maintain visibility across human and machine identities
Manages machine identities lifecycle to secure credentials, reduce risk, ensure compliance, and prevent credential sprawl across cloud, AI, and modern distributed systems
Manages and secures privileged accounts and credentials using controls like least privilege, JIT access, and monitoring to reduce risk, prevent misuse, and limit breach impact
Manages digital identities and access across systems, covering authentication, authorization, and lifecycle controls to reduce risk, prevent misuse, and enforce secure access policies
Digital identity for machines like services and apps, enabling secure authentication and access control, requiring lifecycle management to prevent credential misuse, breaches, and privilege escalation
Authenticates API requests using tokens like keys or JWTs, enabling secure machine access while requiring strict protection, rotation, and monitoring to prevent misuse and breaches
Controls what AI agents can access and do using scoped permissions, authentication, and lifecycle management to reduce risk, enforce least privilege, and secure automated actions
Secures sensitive credentials like API keys and passwords through storage, rotation, and access controls to prevent breaches, reduce risk, and enforce least privilege across systems
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