Harmonic Security today unveiled MCP Gateway, a locally installed, developer-friendly platform designed to give security teams full visibility and control over their organization’s agentic AI ecosystem. The gateway intercepts Model Context Protocol (MCP) traffic, allowing enterprises to monitor AI model interactions, enforce granular policies, and prevent sensitive data exfiltration.
The rise of agentic AI—autonomous systems that can initiate tasks across tools and data sources—has created a new, often invisible attack surface. Traditional security measures struggle to keep pace with these workflows, leaving organizations exposed to threats like prompt injection, rogue credential access, and tool poisoning. MCP Gateway addresses this gap by giving teams the ability to see which AI clients and servers are active, block risky behaviors, and apply Harmonic’s sensitive data models to safeguard critical IP and confidential information.
MCP, the open standard that underpins the gateway, standardizes how AI models securely interact with external systems, APIs, and company data. By establishing a common “language” for AI integrations, MCP enhances transparency and consistency, helping enterprises adopt agentic AI workflows with confidence while reducing risk.
“Security teams lack governance over this new AI workflow channel,” said Bryan Woolgar-O’Neil, CTO and co-founder of Harmonic Security. “MCP Gateway fixes that with a lightweight, developer-friendly solution that lets teams proactively block risky clients and data flows before they can cause damage.”
Early customers like Advisor360 are already seeing benefits. Michael Janielis, Senior Principal, Information Security Architect at Advisor360, noted, “Every security leader I know is trying to get ahead of AI-driven workflows. It’s exciting to see Harmonic tackling this head-on, so teams can innovate safely.”
As enterprises increasingly rely on agentic AI, tools like MCP Gateway may become essential for mitigating emerging risks, offering both visibility and actionable control over AI workflows that could otherwise operate unchecked.
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