Secure and Govern Every AI Agent
End-to-end AI agents governance with real-time policy enforcement.
The Challenge
AI agents can access systems, execute tools, and trigger workflows autonomously. Without runtime governance, they may exceed permissions or be manipulated through prompt injection.
The Solution
The Guardian Agent enforces policy-driven controls over agent behaviour, tool access, and execution permissions, ensuring AI operates within secure, auditable enterprise boundaries.
Discovery of Your AI Agents
The Guardian Agent - Discovery Layer provides full visibility into agent activity across both user and developer environments.
AI Guardian Agent Scope
The Guardian Agent secures the full spectrum of agent activity, covering both home-grown and third-party agents. It protects internally developed agents and MCP servers that you build and publish, ensuring they operate under strict policy, authentication, and runtime controls.
Core Capabilities
How It Works
Five-step process for secure Guardian Agent governance
AI Agent Instruction
User prompts, agent context, and operational instructions enter the workflow.
Tool / MCP Layer
APIs, MCP servers, integrations, and tool execution requests are orchestrated.
AI Agent Firewall
Requests are analyzed against policy, behavioral, and runtime security controls.
Policy Decision
Actions are approved, denied, escalated, or logged based on governance policy.
Execution Monitoring
Runtime telemetry, audit trails, and operational visibility are continuously tracked.
Use Cases
Protect your organization across multiple scenarios
Frequently Asked Questions
Can we restrict agents per department?
Does this prevent prompt injection attacks?
Can it control what the tools are allowed to do?
Secure Your AI Journey
Take control of your AI adoption with Pragatix AI Security Suite.
Protect your organization without compromising innovation.