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MCP Server and AI Agent
The Solution
Features
The Token Security MCP Server and AI Agent combine to provide you with AI‑powered data analysis and guidance where you need it. Whether you prefer to work directly in our platform or connect to your own MCP servers and workflows, Token Security has you covered. Security, Identity and Access Management, and Development teams can now ask questions and make requests such as:
The Token MCP Server
Designed to be consumed from your tool of choice, the Token MCP Server enables you to ask questions from your favorite chat application (e.g., Claude, ChatGPT, Gemini) or AI Agent-based application (e.g., Cursor).
The Token AI Agent
Built directly into the Token Security NHI Security Platform, the Token AI agent gives you native conversational AI capabilities right from the Token UI.
Drive business outcomes with AI
The Token Security platform delivers AI-powered experiences, enabling intelligent querying, remediation, and posture insights through natural language to protect non-human identities at scale.
Token Security AI enables security teams to ask complex questions about their non-human identity inventory using natural language. Teams can explore Token findings, request intelligent recommendations, and receive clear, actionable guidance for resolving security posture issues - all through a seamless, conversational interface.
Token AI supports dynamic querying across all major data layers within the platform, including the NHI Inventory, NHI Security Posture Management, Lifecycle Management, Secrets, and Threat Detection and Response, giving users instant insights, explanations, and guided remediation recommendations.
Token AI benefits
Enhanced
Visibility
Token AI empowers users to ask complex, natural-language questions across their NHI inventory, permission structures, authentication methods, associated risks, environment criticality, ownership, and usage patterns. It automatically compiles and analyzes disparate data points to deliver a prioritized and actionable view of machine identity risks: something that is often difficult and time-consuming to achieve manually.
Smarter, Context-
Aware Remediation
Token AI delivers organization-specific remediation guidance, including scripts, CLI commands, and fix recommendations tailored to your environments. It helps security teams quickly understand what to fix, how to fix it, why it matters, and what the impact will be - saving hours of manual investigation and accelerating time-to-resolution for both security and cloud engineering teams.
See the Power of
Token AI in Action!
Token AI translates plain-language queries into Token platform-specific operations, such as querying the inventory, assessing risks, understanding the Identity blast radius, and generating qualified insights.
Understanding NHI Ownership
- Token AI identifies the top 5 NHI owners responsible for the most vulnerable identities across environments.
- This approach addresses the challenge of chasing stakeholders, often the most time-consuming aspect of vulnerability remediation.
- The response includes a detailed list of owners with their managed identities, environments, and specific vulnerabilities requiring attention.
Bulk Remediation of Inactive Identities
- Token AI can prioritize among thousands of inactive identities for de-provisioning, analyzing risk factors across all inactive identities, determining which ones pose the highest security risk.
- Reduce risk and save time by focusing remediation efforts precisely where they matter most.
- Receive ready-to-use de-provisioning scripts, enabling immediate action on these high-risk inactive identities.
Identify GCP Service Account Consumed by AWS
- Token MCP Server can solve complex cross-cloud identity challenges with a simple natural language query.
- Deep analysis across multiple cloud environments and usage patterns uncovers connections that would typically take weeks to discover manually.
- Transform weeks of painstaking manual investigation into an immediate, comprehensive answer with actionable details.
Understand the Impact of Off-Boarded Employees
- An AI assistant can use the Token MCP Server to analyze off-boarding risks.
- Prioritization is based on risk factors including access levels, sensitivity, dependencies, and production environments at risk
- An automated analysis provides specific remediation steps for each high-risk NHI, preventing security gaps during employee transitions.
Token Security
AI Integration
Token AI doesn’t just bring AI to your security data - it connects directly into the broader Agentic AI ecosystem. By adhering to the open MCP standard, Token enables seamless integration with autonomous AI agents in tools like ChatGPT, Claude, and Cursor. This allows these agents to reason about NHI posture, retrieve findings, generate remediation scripts, and even initiate actions without requiring human input.
These integrations unlock powerful workflows where agents can autonomously identify risks, prioritize fixes, generate JIRA tickets with pre-filled scripts, notify stakeholders via Slack, and follow up on unresolved issues. The result is a shift from reactive security dashboards to proactive, intelligent assistants that operate continuously, driving faster resolution, improved compliance, and a stronger overall security posture.
