AI MCP Security
Discover, authorize, monitor, and govern MCP servers across your AI environment.
Overview
MCP security helps organizations discover, authorize, monitor, and govern Model Context Protocol servers and connections across the enterprise. It brings security controls to the protocol layer where AI agents connect with tools, data, and applications, helping teams reduce shadow MCP, enforce consistent policies, and maintain transaction-level evidence.
Uncover all MCP servers everywhere they run to gain full visibility and a clear, guided path to governing your entire MCP footprint.
Apply authentication, authorization, content inspection, and routing controls across MCP usage.
Deliver verifiable MCP forensics to detect anomalies, track interactions, and demonstrate governance with clear evidence.
MCP Governance Challenges
Model Context Protocol gives AI agents a standard way to connect with tools, data, and applications. But MCP servers can appear on laptops, in cloud environments, and on third-party platforms without security review. A single unmanaged MCP server can create an ungoverned path into sensitive systems, so security teams need visibility and controls at the MCP boundary.
Product Capabilities
Proofpoint AI MCP Security gives you the visibility, policy enforcement, and protection to govern every MCP server in your organization.
Eliminate shadow MCP before it becomes your next breach. Discover every MCP server across your enterprise, whether it's running on an employee laptop, hosted by an unsanctioned third party, or operating behind your enterprise gateway. Get a complete picture of your MCP exposure and a prescriptive path to help you govern it.
Secure any MCP server with authentication, authorization, encryption, and integrity checks—whether internal, community-built, or registry-sourced. Apply uniform controls without modifying the servers themselves.
Deploy from 800-plus pre‑vetted open source MCP servers into your own cloud, keeping credentials in your environment. Provenance tags separate vendor and community versions. Package any server into a secured container in under 15 minutes.
Route all MCP traffic through a central gateway that authenticates via OAuth 2.0, controls user and agent tool access, and inspects for sensitive data and policy violations. Block or redact requests before they reach servers, with multi-gateway support in one console.
Detect every MCP server and classify risk—such as missing authentication, missing encryption, unsanctioned remote hosts, or local servers running unprotected on employee machines. Generate findings with prescribed remediation steps. Auto-route MCP traffic to governed pathways.
Reconstruct every MCP transaction—from the user to the application, LLM, and servers—while surfacing anomalies and privilege escalations. Integrate full telemetry into your SIEM and observability stack via OpenTelemetry.
See how Proofpoint gives security teams visibility, control, and evidence across real AI activity.
Why Proofpoint
| Capability | Unmanaged MCP | Proofpoint AI MCP Security |
|---|---|---|
| Discovery | Servers can appear without security review, creating unknown access paths. | Finds MCP servers and classifies exposure across local, cloud, and third-party environments. |
| Authorization | Access controls can be optional, inconsistent, or handled server by server. | Applies centralized authentication, authorization, and routing controls at the MCP boundary. |
| Content inspection | Tool calls may move data without consistent inspection. | Inspects requests, responses, tool calls, and data crossing MCP links. |
| Forensics | Evidence is often fragmented across server logs, app logs, and identity systems. | Reconstructs MCP transactions across user, application, model, server, and policy activity. |
Bring MCP servers and connections into the same governance model as your people, agents, and data.
Unified AI Security
Protect how people and AI agents interact with AI by adding visibility and control across user access and agent behavior.
Extend protection across AI connections with runtime controls that inspect content and enforce policy as AI interacts with enterprise systems.
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MCP security is the practice of discovering, authorizing, monitoring, and governing Model Context Protocol servers and connections. It helps organizations control how AI agents connect to tools, data, and applications through MCP.
MCP servers can give AI agents access to enterprise systems, data, and tools. If they are deployed without security review, authentication, authorization, encryption, or monitoring, they can create hidden access paths that security teams cannot govern.
Enterprises can discover shadow MCP by identifying MCP servers across local devices, cloud environments, third-party platforms, and approved gateways. Security teams can then assess where each server runs, what it connects to, who or what uses it, and which controls are missing. Routing MCP activity through governed pathways helps organizations apply consistent policies and reduce unmanaged MCP usage.
Proofpoint helps secure MCP by discovering servers, classifying risk, enforcing authentication and authorization, inspecting MCP content, monitoring transactions, and creating evidence for governance, investigations, and compliance.