Unapproved MCP Servers
Malicious or unverified servers can expose tools that perform unauthorized actions or leak sensitive data.
trojAI defend for MCP
Keep Your Agents in Check. MCP Security for the Enterprise.
Secure agentic AI workflows by giving security teams the visibility, policy control, and runtime protection needed to secure Model Context Protocol (MCP) deployments.
The Problem
Agentic Workflows Expand the Attack Surface
MCP gives AI agents real autonomy, but introduces a new class of security risk. Each connection, tool, and server introduces additional attack vectors that traditional security tools weren’t built to manage. Agentic systems dynamically create and invoke tools, increasing the complexity of runtime security.
Unapproved Tools
Even on trusted servers, unapproved tools can slip past security controls and act outside policy.
Malicious Tool Descriptions
Attackers can tamper with tool metadata to hide prompt injection attacks.
Post-Approval Server and Tool Integrity
Server or tool metadata changes after approval could signal tampering or rug pull attacks.
The Solution
Gain Visibility into Agentic Environments
MCP deployments create complex networks of agents, servers, and tools that are difficult to monitor at scale. TrojAI Defend for MCP discovers MCP infrastructure, monitors agent interactions, and identifies unauthorized servers, tools, and activity across connected AI environments.
Runtime Protection
Stop Runtime Threats Across MCP Workflows
MCP environments are constantly changing as agents connect to new tools, servers, and services in real time. TrojAI Defend for MCP continuously inspects agent activity, establishes trusted infrastructure, and blocks unauthorized or malicious behavior before it impacts connected systems.
MCP Server Registry and Tool Approval
- Discover and catalog MCP servers
- Allow or block server access
- Inventory approved tools and resources
MCP Traffic Monitoring
- Monitor MCP traffic and agent communication
- Detect connections to rogue servers
- Identify suspicious or unauthorized activity
Tool Integrity Protection
- Detect tampering, drift, and tool poisoning
- Block unapproved or modified tools
- Maintain audit trails for tool usage and changes
MCP Policy Enforcement
- Implement MCP-specific runtime policies
- Inspect and enforce controls in real time
- Surface alerts, events, and security notifications
Governance
Govern MCP Servers and Tool Access
AI agents dynamically connect to servers, tools, and resources across MCP environments, making it difficult to maintain trusted execution paths. TrojAI Defend for MCP gives security teams centralized control over approved infrastructure, tool usage, and agent interactions to reduce unauthorized access and eliminate shadow MCP activity.
- Register trusted MCP servers
- Approve or block tool access
- Monitor and control agent interactions across MCP environments
- Eliminate shadow MCP infrastructure
- Notify when a new MCP server is discovered
Product in Action
Operationalize Secure MCP Deployments at Scale
Enable teams to adopt agentic AI and MCP workflows confidently with centralized governance, continual oversight, and runtime protection designed for enterprise-scale environments.
- Reduce exposure to rogue MCP servers and unauthorized tools
- Accelerate incident response with real-time alerts and audit trails
- Strengthen governance across agent interactions and tool usage
- Drive compliance initiatives with automated policy enforcement
- Scale secure MCP adoption across complex enterprise environments
By Persona
Purpose-Built for Modern AI Security Teams
CISOs
Visibility and control across MCP environments
Gain real-time visibility into MCP servers, agent traffic, and tool usage to reduce exposure to rogue agents, unauthorized access, and compromised AI workflows.
AI Security Architects
Runtime protection for complex agentic systems
Secure interconnected MCP workflows with policy enforcement, server approvals, and runtime controls designed to protect dynamic AI ecosystems.
AppSec | CloudSec Teams
Runtime governance for MCP workflows
Monitor MCP traffic, enforce trusted server and tool access, and detect unauthorized activity across dynamic agentic workflows and connected AI systems.
Differentiation