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SurePath AI Advances Real-Time Model Context Protocol (MCP) Policy Controls
New capabilities enable organizations to close the visibility gap and secure every AI interaction.
Mar. 12, 2026 at 3:00pm
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SurePath AI, a security and governance platform for AI solutions, has announced the launch of MCP Policy Controls, which provides real-time controls over what MCP servers and tools are allowed to be used. This new capability helps organizations adopt MCP safely with visibility and safeguards from day one, as MCP introduces new security challenges with AI issuing real commands authenticated as the end user.
Why it matters
As MCP has quickly evolved from a buzz-acronym to the backbone in next-gen AI-powered workflows, rapid adoption with little oversight and a surface-level understanding of risks has become a concern. The new MCP Policy Controls from SurePath AI aim to help organizations manage MCP securely, moving beyond traditional firewall and IAM policies to put in place controls specific to how MCP operates.
The details
MCP is a direct line from generative AI clients to the systems that enable a business to operate. These lightweight MCP tools can run locally on a user's laptop and are often launched silently by AI desktop apps like ChatGPT, Claude, and Cursor. They also link to internal tools, such as Google Drive, Salesforce, and AWS management APIs. This presents new security challenges as AI is now issuing real commands, authenticated as the end user. SurePath AI's new MCP Policy Controls apply policy-based control over what MCP servers and tools are allowed to be used before anything is executed, enforcing an organization's policies on exactly which MCP servers and tools are allowed.
- SurePath AI announced the new MCP Policy Controls on March 12, 2026.
The players
SurePath AI
A security and governance platform designed for CISOs, security teams, and AI governance leaders to provide visibility, control, and policy enforcement across their organization's use of AI.
Randy Birdsall
CPO and Co-Founder of SurePath AI.
What they’re saying
“MCP has quickly evolved from a buzz-acronym to the backbone in next-gen AI-powered workflows. In fact, we are seeing the same pattern when ChatGPT first became available – rapid adoption, little oversight, and a surface-level understanding of risks. The reality is that MCP introduces an entirely new attack surface, one that many organizations are already exposing without realizing it, but blocking MCP is not practical. Instead, it needs to be managed securely, and that means moving beyond traditional firewall and IAM policies. Modern organizations need to put into place controls that are specific to how MCP operates. Only then can security teams confidently support AI adoption without hindering innovation.”
— Randy Birdsall, CPO and Co-Founder, SurePath AI
What’s next
SurePath AI plans to continue enhancing its MCP Policy Controls to provide organizations with more visibility, control, and policy enforcement capabilities as the use of generative AI and MCP tools continues to evolve.
The takeaway
As the adoption of generative AI and MCP tools accelerates, organizations need to proactively implement security and governance measures to manage the new attack surface and risks introduced by these technologies, rather than simply blocking their use and hindering innovation.
