...

End-to-end AI agents governance with real-time policy enforcement.

Guardian Agent Layers

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

Comprehensive protection for your Guardian Agent ecosystem

MCP Server Governance

Tool Access Enforcement

Runtime Behavior Monitoring

Prompt Injection Defence

Audit & Traceability

How It Works

Five-step process for secure Guardian Agent governance

Use Cases

Protect your organization across multiple scenarios

Secure internal AI automation workflows

Govern database query agents.

Control DevOps AI assistants

Prevent AI agent lateral movement

Enforce Zero-Trust AI architecture

Frequently Asked Questions

Everything you need to know about AI Agent Firewall

Yes. Policies can be role and environment-specific.

Yes. The Agent Layer actively detects and blocks adversarial prompts.

Yes, it can control which tools are allowed to do what

Secure Your AI Agents Before They Scale

Control execution. Govern behaviour. Prevent AI misuse.
Speak to an AI Governance Specialist