Solution · AI Agent Governance

Govern every AI agent with identity-first controls.

Secure, monitor, and control AI agents with the same rigor as human identities. Identity and access management built for the age of autonomous AI.

The challenge

The AI Agent Security Challenge

Challenge

AI agents need access to sensitive systems

TigerIdentity Solution

Grant scoped, time-limited access with automatic expiration

Challenge

No visibility into what AI agents are doing

TigerIdentity Solution

Complete audit trail of every action and decision

Challenge

Shared credentials between AI agents

TigerIdentity Solution

Unique identity per agent with individual access control

Challenge

Static permissions that never change

TigerIdentity Solution

Dynamic access based on context and behavior

How it works

How TigerIdentity governs AI agents

A simple three-step workflow to register, route, and control every agent in your environment.

01

Register Agent

Create an identity for your AI agent with defined capabilities and limits

02

Route Through Gateway

Configure MCP to route requests through TigerIdentity for authorization

03

Monitor & Control

Track all actions, enforce policies, and revoke access when needed

Architecture

How policy flows through every agent action.

Every tool call an AI agent makes passes through the policy engine in real time. Authorization is not a gate you pass once at startup; it is a decision made on every request, with current context.

01RequestAPI call, workload, agent02ContextIdentity graph + posture03PolicyYAML DSL, GitOps04Decision< 50 ms p9505AccessShort-lived credentialLIVE · < 50 MS

The AI governance gap

The problem

AI agents share credentials, operate without audit trails, and access sensitive systems with static permissions that never adjust to context.

The shift

TigerIdentity treats every AI agent as a first-class identity: registered, scoped, monitored through MCP gateway, and revocable in real time.

The result

Complete action-level audit trail for every agent. Anomalous behavior triggers instant access restriction, not an incident report written after the fact.

Capabilities

Everything you need to govern AI agents.

Identity, policies, monitoring, and revocation. Unified for the age of autonomous AI.

Agent Identity

Register AI agents as first-class identities. Track capabilities, ownership, and access patterns.

MCP Gateway

Proxy Model Context Protocol requests through TigerIdentity for authorization and governance.

Action Monitoring

See every tool call, every resource access, every decision your AI agents make.

Least Privilege

Grant only the permissions each agent needs. Automatically scope access to specific resources.

Real-Time Revocation

Instantly revoke agent access when anomalies are detected or policies change.

Compliance Ready

Meet regulatory requirements with complete audit logs and access controls for AI systems.

Principle

“An AI agent with no identity is an AI agent with no accountability.”

Why TigerIdentity for AI Governance

Purpose-built for the unique challenges of governing autonomous AI systems.

MCP Native

Built-in support for Model Context Protocol with transparent proxying and policy enforcement.

Behavioral Analysis

Detect anomalous agent behavior patterns and automatically adjust access in real-time.

Continuous Evaluation

Every agent action is evaluated against current policies, not just initial authentication.

Full Observability

Complete visibility into agent actions, resource access, and policy decisions.

Solutions For

AI governance for every team deploying autonomous systems.

AI Engineering Teams

Deploy autonomous agents safely with proper access controls and guardrails.

ML/AI Ops

Manage model access to training data, inference endpoints, and production systems.

Enterprise IT

Govern AI assistants and copilots accessing corporate systems and data.

Financial Services

Meet regulatory requirements for AI governance and explainability.

Automation Platforms

Secure RPA bots and automation agents with identity-based access control.

Customer Service

Control AI chatbot access to customer data and backend systems.

FAQ

Frequently asked questions

AI Agent Governance is the practice of managing, controlling, and auditing autonomous AI systems that interact with your infrastructure. It includes identity management for agents, access control for resources they can use, and monitoring of their actions.

Ready to govern your AI agents?

See how TigerIdentity can help you deploy AI safely with proper access controls.