Monitor, govern, and secure every AI agent.
From shadow agent detection to real-time revocation, take control of autonomous AI in your enterprise.
The agentic AI security challenge
AI agents are deployed faster than security teams can track them. With no visibility into what they access or do.
AI agents deployed without security team awareness
Automated discovery finds every AI agent across your infrastructure, including shadow deployments
No visibility into what MCP servers agents connect to
Complete MCP server monitoring with real-time connection tracking and policy enforcement
Unable to understand agent intent or detect malicious behavior
Agent intent analysis evaluates actions against behavioral baselines and policy constraints
No way to quickly revoke agent access during incidents
Real-time revocation instantly cuts agent access across all connected systems
How TigerIdentity governs every AI agent
A continuous four-phase workflow that brings enterprise-grade controls to autonomous AI.
Discover Agents
Connect your infrastructure to automatically discover every AI agent and MCP server deployment
Establish Baselines
Build behavioral baselines for each agent to understand normal operation patterns
Monitor & Detect
Continuously monitor agent actions, detect anomalies, and analyze intent in real-time
Respond & Govern
Automate responses to threats and enforce governance policies across all AI agents
Architecture
Every agent action passes through policy.
Agent requests carry identity and context. The policy engine evaluates both in under 50 ms and issues a scoped, short-lived credential only when the decision is allow.
Everything you need to secure autonomous AI.
Discovery, behavioral monitoring, intent analysis, and instant revocation. In one platform.
Agent Discovery
Automatically discover every AI agent deployed across your environment, including those created outside official channels.
Shadow Agent Detection
Detect unauthorized or unregistered AI agents operating in your infrastructure before they become a security risk.
MCP Server Monitoring
Monitor all Model Context Protocol server connections, track tool usage, and enforce access policies in real-time.
Agent Intent Analysis
Analyze agent actions and tool calls to understand intent, detect prompt injection attempts, and flag suspicious behavior.
Ownership Attribution
Map every AI agent to its deploying team, responsible owner, and authorized scope of operations.
Behavioral Anomaly Detection
Build behavioral baselines for each agent and detect deviations that indicate compromise or misconfiguration.
Real-Time Revocation
Instantly revoke agent credentials and access across all connected systems when threats are detected.
Compliance Audit Trail
Maintain a complete, tamper-proof record of every agent action for regulatory compliance and forensic analysis.
Principle
“Access should reflect context, not permanence.”
Frequently asked questions
Agentic AI security focuses on securing autonomous AI systems that take actions in your infrastructure, such as AI agents using MCP to call tools, access databases, or modify configurations. Unlike traditional AI safety, it addresses identity, access control, and behavioral monitoring for AI systems that act independently.
Ready to secure your AI agents?
See how TigerIdentity helps you govern autonomous AI with enterprise-grade security controls.