TrojAI, an enterprise-grade security platform for artificial intelligence, has introduced TrojAI Defend for MCP, a next-generation AI runtime defense solution designed specifically for agentic AI workflows. Built to secure environments powered by the Model Context Protocol (MCP) an open standard that links AI agents with external tools, data sources, and services the new platform aims to bring unified visibility, continuous policy analysis, and real-time protection to rapidly expanding AI ecosystems.
MCP is quickly becoming a foundation for AI innovation because it standardizes how agents connect and operate across systems. However, this surge in adoption has also exposed organizations to unfamiliar security gaps. Recognizing this, TrojAI developed Defend for MCP to monitor all traffic flowing to and from MCP servers, giving security teams deeper oversight into agent-driven operations.
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Highlighting the urgency of securing these environments, Lee Weiner, CEO of TrojAI, explained, “Enterprises are innovating with AI at a rapid pace and moving toward sophisticated agentic AI workflows. The rise of MCP is accelerating that adoption. Unfortunately, security often lags behind. With TrojAI Defend for MCP, we are enabling the adoption of agents using MCP by ensuring these advanced workflows are secure. By monitoring agentic workflows in real time in production systems, TrojAI Defend for MCP helps customers not just keep pace with new and evolving threats but get ahead of them.”
As more enterprises implement MCP at scale, they encounter a growing set of operational and security vulnerabilities. Unauthorized agents and rogue MCP servers can appear outside formal governance, while unapproved tools may execute malicious instructions or siphon off sensitive data. Moreover, tool definitions can drift or become compromised, creating opportunities for hidden payloads and manipulated guidance. Traditional controls ranging from firewalls to DLP solutions often lack visibility into runtime interactions, producing blind spots where threats such as prompt injection, data leakage, privilege escalation, and cross-agent manipulation can flourish.
To address these risks, TrojAI Defend for MCP delivers comprehensive runtime governance. It extends the capabilities of TrojAI Defend directly into the MCP layer, ensuring every tool, server, and agent aligns with approved operational frameworks. As a result, organizations can eliminate blind spots, detect tampering earlier, and block unauthorized activity before it escalates into a breach.
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The solution includes several key capabilities designed for enterprise-scale protection:
- MCP Server Registry & Tool Approval: Automatically discovers MCP servers, flags unauthorized instances, and validates tools against enterprise security requirements.
- Full MCP Traffic Visibility: Offers real-time monitoring of all prompts, responses, and interactions across MCP servers while blocking rogue communication paths to prevent prompt injection and data loss.
- Tool Change Detection: Continuously inspects tool definitions for tampering, drift, or poisoning, issuing alerts or blocking activity when deviations appear.
- MCP Policy Engine: Enforces granular, MCP-specific policies to maintain strict governance, ensure data handling compliance, and support detailed auditing for investigations.
Ultimately, TrojAI aims to transform how enterprises defend intelligent systems as they adopt more advanced agentic AI. With TrojAI Defend for MCP, organizations gain the confidence to innovate at scale securely, transparently, and with greater control over emerging AI-driven workloads.
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