Guardian Agent

Secure and Govern Every AI Agent

Discover, monitor, and control AI agents, MCP tools, and system action in runtime across SaaS, homegrown, embedded, endpoint, and developer environments.

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The Challenge

AI agents can call tools, access data, and trigger workflows faster than humans can review them.

Agent ownership, identities, permissions and connected tools are often fragmented across platforms.

Prompt injection, privilege misuse and destructive actions can occur during runtime.

The Solution

Guardian Agent provides an independent oversight layer that maps agent activity, evaluates risk and enforces policy before agents perform unsafe actions.

Core Capabilities & Mechanics

Agent Discovery & Inventory:

Automatically detect and maintain a complete inventory of AI agents across the enterprise for greater visibility and governance.

Agent & Connector Catalogue:

Centrally manage and organize agents, applications, tools, and integrations in one governed catalogue for greater visibility and control.

Agent Map:

Visualize agents, their connected tools and systems, and real-time runtime activity in one clear, interactive map.

Agent Policy Engine:

Define and enforce policies for tool access, data boundaries, spending limits, and approval thresholds to control and reduce agent risk.

MCP & Tool Governance:

Control agent access to MCP servers, tools, applications, and enterprise systems with policy enforcement before actions are execute.

Agent Identity & Access Control:

Broker agent identities and permissions through the MCP Gateway, allowing policy-based access only to approved tools, data, and systems.

Monitoring & Traceability:

Track agent decisions, tool usage, data access, and workflows with complete audit trails.

Runtime Action Enforcement:

Block, remediate, or require approval for high-risk agent actions before they create business or security impact.

Agent Defender:

Provides real-time visibility and policy control over endpoint AI agents, coding assistants, and applications before they access data, use tools, or take action.

Shadow AI Agent Detection:

Detect AI agents installed or running across the network by analyzing enterprise traffic and identifying unmanaged or unauthorized agent activity.

Benefits

Reduce exposure from autonomous agents acting outside business or security boundaries.

Create a single view of agent activity across clouds, local endpoints, and IDEs.

Support zero-trust AI architecture with least-privilege agent access.

Get visibility of all agents in use for security posture management.

Give governance teams the evidence needed to approve, monitor and scale agent use.

FAQ Quick Access

Frequently Asked Questions

Can we restrict agents per department?

Yes. Policies can be role and environment-specific.

Does this prevent prompt injection attacks?

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

Can it control what the tools are allowed to do?

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

Secure AI agents before they become business-critical harm.

Take control of your AI adoption with Pragatix AI Security Suite.
Protect your organization without compromising innovation.

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