Operant AI unveils MCP Gateway to secure enterprise AI agents using model context protocol

Operant AI’s MCP Gateway delivers real-time, active threat protection across the entire MCP stack—from local tools like GitHub Copilot to enterprise AI agents on AWS, Azure, and Google Cloud—safeguarding next-gen AI-powered workflows

Operant AI, developer of the world’s only runtime AI defence platform, has introduced MCP Gateway—an advanced security layer for its flagship AI Gatekeeper platform. This new offering is designed to protect AI systems built using the increasingly adopted Model Context Protocol (MCP), which is fast becoming a foundational framework for modern AI agent architectures. As enterprises adopt open-source MCP servers and AI agents at scale, MCP Gateway emerges as the first enterprise-grade solution with active-blocking capabilities for real-time API security.

With over 1,000 MCP servers now deployed globally, MCP is facilitating secure integrations between large language models (LLMs) and external tools, APIs, and data platforms. Industry forecasts underline its growing relevance—Gartner predicts that by 2026, 75% of API gateway providers and half of iPaaS vendors will integrate MCP features into their platforms. In India, where the AI market is projected to hit $17 billion by 2027 (according to NASSCOM), MCP adoption is accelerating, particularly in sectors like IT services, financial technology, and healthcare.

However, this rapid adoption has introduced new security challenges. Organizations are increasingly vulnerable to novel threat vectors, including prompt injection, shadow AI deployments, and risks associated with modular, multi-agent systems. As autonomous AI agents proliferate, enterprises face limited visibility into agent behavior, data access patterns, and interactions—exposing them to risks such as inter-agent spoofing, where compromised agents can deceive or manipulate others within the network.

MCP Gateway is designed to counter these threats head-on. It provides comprehensive, real-time protection across all layers of the MCP stack—from local AI tools like GitHub Copilot and Claude Desktop, to enterprise AI agents deployed on cloud platforms such as AWS Bedrock, Microsoft Azure, and Google Vertex AI. By delivering active threat blocking and enhanced control, Operant AI positions MCP Gateway as a crucial safeguard for the next generation of AI-powered workflows.

“While MCP is a powerful AI integration framework, the growing adoption of open-source MCP servers also brings new challenges around security and governance,” said Vrajesh Bhavsar, CEO and co-founder of Operant AI. “Many organizations are deploying these tools without full visibility into their behavior, data access, or usage. MCP Gateway helps close this gap by providing enhanced security, observability, and control across the MCP ecosystem.”

Comprehensive Security for the AI Agent Era

Unlike traditional guardrails and static cyber-security tools, MCP Gateway is purpose-built for the inter-connected AI agent era, empowering organizations to safely and effectively leverage AI agents and MCPs through three core capabilities:

MCP Discovery: Complete Visibility into AI Agent Ecosystems

a.      Automatic real-time MCP tool catalogs and AI agent discovery across all environments

b.     Live traffic graphs and telemetry showing active access patterns between AI agent clients and MCP servers

c.      End-to-end visibility from development tools to cloud deployments, eliminating shadow MCP server blind spots

d.     Comprehensive discovery spanning coding agents to remote AI agents in multi-cloud environments

MCP Detections: Advanced Threat Detection for AI-Specific Risks

a.      Real-time detection of sensitive data leakage to and from AI agents and MCP tools

b.     Identification of emerging agentic AI threat vectors, including tool poisoning, jailbreaks, and unauthorized access

c.      Supply chain security monitoring for vulnerabilities in local MCP servers and misconfigurations in remote servers

d.     Trust and risk scoring for all MCP servers in the environment

MCP Defense: Proactive Protection and Governance

a.      Enforcement of MCP trust zones with live blocking of untrusted servers and tools

b.     Prevention of sensitive data and IP leakage through real-time flow blocking and auto-redaction

c.      Least privilege execution controls and granular access permissions for the MCP tool usage

d.     Centralized governance framework for enterprise-wide AI agent and tool management

e.      Rate limiting and encryption standard enforcement for all MCP communications

Ecosystem Partnership Strategy

Operant AI is launching the MCP Gateway with a comprehensive ecosystem partnership program designed to secure the entire MCP vendor landscape. Operant AI is working closely with MCP vendors and AI tool providers to deliver pre-integrated security tooling, helping partners secure their customers by embedding AI Gatekeeper's runtime defenses directly into their MCP offerings.

"We're not just securing MCP applications – we're enabling the entire ecosystem," said Ashley Roof, Co-Founder and CMO at Operant AI. "Our partnership approach mirrors our successful sales enablement programs with model providers, creating a security foundation that allows MCP vendors to serve enterprise customers confidently."