Guardian Agent
End-to-end AI Agents Governance
Real-time policy enforcement and security for AI agents. Prevents autonomous systems from exceeding permissions or being manipulated through prompt injection.
Guardian Agents Coverage
Guardian Agent spans the full enterprise AI landscape — from homegrown cloud and internal agents to SaaS platforms like Copilot, Claude, and ChatGPT, embedded tools like Notion and Salesforce, IDE assistants, endpoint agents, and multi-platform deployments. Every agent, everywhere, is covered.
Discover
Full visibility into every AI agent across user and developer environments.
Evaluate
Assess agent behaviour, tool access, and risk posture in real time.
Enforce
Apply policy-driven controls to ensure secure, auditable AI operations.
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 attacks.
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. Know exactly which agents are running, what they're accessing, and how they're behaving — before issues arise.
Full-Spectrum Agent Protection
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.
Comprehensive Protection for Your Guardian Agent Ecosystem
MCP Server Governance
Controls AI agents connected via MCP. Regulates tool and system access and enforces permission boundaries.
Tool Access Enforcement
Defines which tools agents can use. Restricts access to sensitive systems and prevents unauthorized data retrieval.
Runtime Behavior Monitoring
Monitors agent decision pathways, detects abnormal execution patterns, and prevents automated misuse.
Prompt Injection Defence
Detects malicious prompt manipulation, blocks adversarial instruction overrides, and prevents unauthorized workflow triggers.
Audit & Traceability
Full execution logs, agent activity trace mapping, and governance reporting for compliance.
Identity & Access Control
Governs permissions to tools, permits/denies system access, and manages Role Based Access Control (RBAC).
Five-Step Process for Secure Guardian Agent Governance
AI Agent Instruction
Agent receives a task or instruction from a user or system.
Tool / MCP Layer
Agent attempts to access tools or MCP-connected services.
AI Agent Firewall
Guardian intercepts and evaluates the request against policies.
Policy Engine Decision
Request is approved or denied based on defined governance rules.
Execution Monitoring
All actions are logged and monitored for audit and traceability.
Protect Your Organization Across Multiple Scenarios
Enterprise SaaS Agents
Govern AI agents embedded in Copilot, Salesforce, Notion, and other SaaS platforms used across the enterprise.
IDE Developer Agents
Control AI coding assistants in developer IDEs to prevent leakage of proprietary code and API keys.
Internal Custom Agents
Apply runtime policy enforcement to internally built agents and MCP servers your teams publish.
Multi-Cloud Deployments
Centralized governance for AI agents running across AWS, Azure, GCP, and hybrid environments.
Agentic Workflow Control
Constrain autonomous workflow execution so agents stay within approved business processes.
Third-Party Agent Vetting
Discover and evaluate third-party AI agents before they touch production systems and data.
Everything You Need to Know About AI Agent Firewall
Can we restrict agents per department?
Yes. Policies can be role and environment-specific, allowing granular control across teams and business units.
Does this prevent prompt injection attacks?
Yes. The Agent Layer actively detects and blocks adversarial prompts before they can manipulate agent behaviour.
Can it control what tools are allowed to do?
Yes. Guardian Agent can control which tools are allowed to do what, enforcing fine-grained tool-level permissions.
Secure Your AI Agents Before They Scale
Control execution. Govern behaviour. Prevent AI misuse.
Speak to an AI Governance Specialist today and take the first step toward enterprise-grade AI agent security.