See the new MCP Security Gateway at RSAC 2026

MCP Security Gateway

A unified control plane for agentic AI that enforces zero-trust authorization across agent actions, tool access, and data interactions

AI agents are rapidly becoming theinterface to enterprise systems, APIs, and data. As organizations adopt theModel Context Protocol (MCP) to connect agents to tools and services, they areunlocking powerful new capabilities—but also introducing a new class ofsecurity risk. Agents can now act across systems, access sensitive data, andexecute workflows without consistent oversight or control.

The PointGuard AI MCP SecurityGateway represents the next generation of AI security. It provides acentralized control plane that governs how agents interact with enterprisetools, APIs, and data. By combining zero-trust authorization, real-timeguardrails, integrated data protection, and full ecosystem visibility, thegateway ensures agents operate safely, predictably, and in alignment withbusiness policies.This is not just another securitylayer. It is the foundation for securing agentic AI at enterprise scale.

access control

Zero-Trust Agent Authorization

Enforce least-privilege access for AI agents by evaluating every tool call in real time, ensuring actions align with defined policies, user intent, and business context. This approach eliminates implicit trust, providing granular control over how agents access tools, execute operations, and interact with enterprise systems.

  • Enforce fine-grained access per agent, tool, and operation

    Separate read, write, and privileged actions

    Require approval for high-risk workflows

Futuristic humanoid robot dressed as a police officer with glowing blue eyes and AI label, pointing with one hand against a circuit board background.

guardrails

Real-Time Guardrails for Agent Workflows

Continuously inspect and control agent behavior across prompts, responses, and tool interactions to prevent unsafe actions, enforce policy compliance, and reduce operational risk. Guardrails operate inline and can be enforced at the MCP Gateway, ensuring consistent protection across all agent-driven workflows and integrations.

  • Detect prompt injection and jailbreak attempts

    Block unsafe or policy-violating actions

    Enforce policies across agent workflows

data protection

AI-Native Data Loss Prevention

Protect sensitive enterprise data by inspecting agent inputs and outputs in real time, ensuring confidential information is not exposed, leaked, or mishandled across workflows. DLP policies can be enforced directly at the MCP Gateway to prevent data exfiltration across agent interactions and connected systems.

  • Detect sensitive data in prompts and outputs

    Block, mask, or redact data in real time

    Prevent data exfiltration across workflows

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VISIBILITY

Unified Agent Discovery and Observability

Gain comprehensive visibility into AI agents, MCP servers, tools, and data flows across your environment to understand interactions, dependencies, and potential security risks. Centralized discovery enables organizations to map agent activity, monitor behavior, and maintain control over rapidly expanding AI ecosystems.

  • Discover agents, tools, and MCP integrations

    Map agent-to-tool interactions and dependencies

    Monitor activity across the MCP ecosystem

control

Context-Based Policy Enforcement

Apply adaptive, context-aware security policies that evaluate multiple dimensions of risk, including agent role, behavior, real-time conditions, and action sensitivity. This enables more precise enforcement, reduces false positives, and supports human-in-the-loop controls when agent actions require explicit approval.

  • Evaluate risk based on role, behavior, and environment

    Apply dynamic policies across workflows

    Trigger Human-in-the-Loop approval for high-risk actions

Futuristic humanoid robot dressed as a police officer with glowing blue eyes and AI label, pointing with one hand against a circuit board background.

RISK RATINGS

Trusted MCP Knowledge Base

Leverage a continuously updated knowledge base of MCP servers, built by PointGuard through large-scale security testing and risk analysis. By evaluating thousands of MCP servers and assigning transparent ratings, organizations can quickly assess trust, reduce AI supply chain risk, and adopt integrations with confidence.

  • Rates MCP servers across security and trust factors

    Detect vulnerabilities and risky sources

    Identify and select trusted integrations

Clients Words

AppSOC brings it all together in one intuitive dashboard – helping me prioritize vulnerabilities and ensure compliance.

Customer Spotlight

Why Customers Love AppSoc

Learn more about AI security

Read Gartner Peer Insights reviews from customers on why they chose PointGuard

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