A security analyst working on a laptop inside a data center, reviewing enterprise AI governance and security controls—framed by a green curved graphic on a black background in Proofpoint brand style.
A security analyst working on a laptop inside a data center, reviewing enterprise AI governance and security controls—framed by a green curved graphic on a black background in Proofpoint brand style.
AI MCP Security

Secure MCP Across Your Enterprise

Unify MCP discovery, authorization, and monitoring to secure AI connectivity at scale.

Overview and Benefits

Bring visibility, authorization, and oversight to every MCP connection

Eliminate shadow MCP 

Uncover all MCP servers everywhere they run to gain full visibility and a clear, guided path to governing your entire MCP footprint.

Govern MCP enterprise-wide 

Unify MCP discovery, hardening, policy, inspection, and auditing in one platform for consistent, organization‑wide control.

Demonstrate governance 

Deliver complete, verifiable MCP forensics to detect anomalies, track every interaction, and prove governance with confidence.

Why It Matters

MCP is the new connectivity layer for AI in the enterprise

Model Context Protocol (MCP) was designed for developer convenience, with authentication, authorization, and security controls optional. Most servers are deployed with minimal access controls. This means unmanaged MCP servers are appearing on laptops, in the cloud, and on third-party platforms. Security teams lack visibility into what servers exist, what they can access, or who is using them.

Enterprises already have MCP servers connected to internal systems, databases, and cloud resources that security teams don't know about. A single MCP server without authorization can expose every system it connects to. Traditional endpoint detection and response (EDR), cloud access security broker (CASB), and data loss prevention (DLP) tools weren’t designed to detect them.

Two cybersecurity engineers working side by side at a workstation, reviewing code and system activity on large monitors—representing Proofpoint’s secure connectivity layer for enterprise AI.
Product Details

Discover, secure, and govern every MCP server in your organization

Proofpoint AI MCP Security gives you the visibility, policy enforcement, and protection to govern every MCP server in your organization.

Instant MCP Server Protection

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.

Trusted MCP Server Registry

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.

Centralized Policy Enforcement

Route all MCP traffic through a central gateway that authenticates via OAuth 2.0, controls user and agent tool access, and inspects content for sensitive data or policy violations. Block or redact requests before they reach the server, with multi‑gateway support in one console.

Shadow MCP Discovery

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.

Transaction Forensics

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.

 

 

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Gain the visibility and enforcement to govern and protect every MCP server in your organization.

FAQ

FAQ

  • How can enterprises discover and govern every MCP server across their environment? 

    Enterprises can discover and govern every MCP server by using a platform that scans the environment, identifies all MCP endpoints, and applies a single set of security and governance policies. This provides visibility into sanctioned and unsanctioned servers, highlights missing controls such as authentication or encryption, and creates consistent oversight. It reduces risk from unknown assets and helps teams maintain a governed MCP footprint that scales with the business. Key components of effective MCP governance include:

    Enterprises can discover and govern every MCP server by using a platform that scans the environment, identifies all MCP endpoints, and applies a single set of security and governance policies. This provides visibility into sanctioned and unsanctioned servers, highlights missing controls such as authentication or encryption, and creates consistent oversight. It reduces risk from unknown assets and helps teams maintain a governed MCP footprint that scales with the business.

    Key components of effective MCP governance include:

    • Automated discovery: Finds MCP servers across devices, networks, and cloud environments.
    • Risk classification: Labels each server by exposure type (unauthenticated, unencrypted, externally hosted).
    • Centralized policy enforcement: Applies consistent authentication, authorization, and content controls.
    • Governed traffic routing: Redirects MCP interactions through secure gateways to maintain oversight.
    • Continuous monitoring: Tracks usage, access, and behavior to ensure ongoing compliance.

    These measures give security teams complete visibility and unified control over enterprise MCP usage.

  • How do you eliminate shadow MCP before it becomes a security incident?

    You can eliminate shadow MCP by detecting unauthorized MCP servers, assessing their risk, and routing all MCP traffic through governed pathways that enforce authentication, authorization, and inspection. This prevents unknown or weakly protected servers from exposing systems, databases, or cloud resources. It also allows security teams to act fast with clear remediation steps and apply consistent controls without changing server code. Over time, this turns ad hoc usage into governed usage and reduces the likelihood of an incident. Effective shadow MCP mitigation requires:

    You can eliminate shadow MCP by detecting unauthorized MCP servers, assessing their risk, and routing all MCP traffic through governed pathways that enforce authentication, authorization, and inspection. This prevents unknown or weakly protected servers from exposing systems, databases, or cloud resources. It also allows security teams to act fast with clear remediation steps and apply consistent controls without changing server code. Over time, this turns ad hoc usage into governed usage and reduces the likelihood of an incident.

    Effective shadow MCP mitigation requires:

    • Enterprise-wide scanning: Identifies servers on laptops, local development setups, cloud VMs, and third‑party platforms.
    • Risk scoring and classification: Flags gaps in authentication, encryption, or access controls.
    • Prescriptive remediation: Recommends hardening, isolation, or decommissioning of risky endpoints.
    • Instant server protection: Adds authentication, encryption, and integrity checks—no code changes needed.
    • Traffic redirection: Forces all MCP requests through approved gateways before reaching any server.

    By converting unknown MCP into governed MCP, organizations reduce data exposure and cut operational and compliance risk.

  • What does centralized policy enforcement for MCP look like in practice? 

    Centralized policy enforcement routes all MCP traffic through a gateway that verifies identity, checks permissions, and inspects content for sensitive data or policy violations before any request reaches a server. Instead of applying controls to each server, security defines policy once and applies it everywhere. This reduces configuration drift, speeds up change management, and keeps enforcement outcomes consistent. It also supports distributed teams and hybrid environments without losing central oversight. Core elements of a centralized MCP enforcement model include:

    Centralized policy enforcement routes all MCP traffic through a gateway that verifies identity, checks permissions, and inspects content for sensitive data or policy violations before any request reaches a server. Instead of applying controls to each server, security defines policy once and applies it everywhere. This reduces configuration drift, speeds up change management, and keeps enforcement outcomes consistent. It also supports distributed teams and hybrid environments without losing central oversight.

    Core elements of a centralized MCP enforcement model include:

    • OAuth 2.0–based authentication: Verifies every MCP connection.
    • Role- and agent-based authorization: Limits tools, servers, and actions per user or AI agent.
    • Content inspection: Detects PII, sensitive data, and policy breaches, with blocking or redaction at the gateway.
    • Multi-gateway architecture: Supports distributed sites while keeping central configuration and visibility.
    • Unified governance console: Provides one place to manage rules, logs, routing, and enforcement outcomes.

    This model eliminates fragmented server-by-server security and standardizes governance across the organization.

  • How does MCP security provide audit-ready transaction forensics?

    MCP security provides audit-ready forensics by recording every MCP interaction at the transaction level. The system captures who initiated the action, which application and large language model (LLM) processed it, and which MCP servers were called, along with key metadata. This creates a complete chain of custody and supports regulatory, compliance, and incident response needs. It also enables faster investigations, clearer accountability, and consistent evidence presentation to auditors and regulators. Audit-ready MCP forensics typically include:

    MCP security provides audit-ready forensics by recording every MCP interaction at the transaction level. The system captures who initiated the action, which application and large language model (LLM) processed it, and which MCP servers were called, along with key metadata. This creates a complete chain of custody and supports regulatory, compliance, and incident response needs. It also enables faster investigations, clearer accountability, and consistent evidence presentation to auditors and regulators.

    Audit-ready MCP forensics typically include:

    • User and agent attribution: Identifies the human or AI actor behind each request.
    • Application and LLM traceability: Shows which interface and model processed the transaction.
    • Server and tool usage logs: Details which MCP servers and tools were accessed.
    • Behavioral anomaly detection: Flags unusual patterns, privilege escalations, or abnormal sequences.
    • OpenTelemetry integration: Streams telemetry into SIEM and observability platforms for unified analysis.
    • Immutable audit logs: Preserves a chronological event history for auditors and investigators.

    This provides transparent, regulator-ready insight into every MCP action across the enterprise.