MCP Security Gateway
A unified MCP security control plane that enforces agentic identity and access control, guardrails, and DLP across agent actions, tool access, and data interactions
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A unified MCP security control plane that enforces agentic identity and access control, guardrails, and DLP across agent actions, tool access, and data interactions
AI agents are rapidly becoming the interface to enterprise systems, APIs, and data. As organizations adopt the Model Context Protocol (MCP) to connect agents to tools and services, they are unlocking powerful new capabilities—but also introducing a new class of security risk. Agents can now act across systems, access sensitive data, and execute workflows without consistent oversight or control.
The PointGuard AI MCP Security Gateway is a zero-trust gateway that secures MCP servers and the AI agents that use them. It provides a centralized control plane that governs how agents interact with enterprise tools, APIs, and data. By enforcing agentic identity and access control as the foundation, and combining it with zero-trust authorization, real-time guardrails, integrated data protection, and full ecosystem visibility, the gateway ensures agents operate safely, predictably, and in alignment with business policies.
This is not just another security layer. It is the foundation for securing agentic AI at enterprise scale.
Authorization
Establish agent identity and enforce least-privilege access by evaluating every tool call in real time, ensuring actions align with defined policies, user intent, and business context. This provides zero-trust authorization for agentic systems, eliminating implicit trust and providing granular control over how agents access tools, execute operations, and interact with enterprise systems.
Enforce fine-grained access control for agents
Ensure zero-trust authorization for all agent activities
Integrates with enterprise IAM systems
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guardrails
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
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
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
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
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RISK RATINGS
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
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FAQ
Answers to common questions about MCP Security and the PointGuard AI MCP Security Gateway.
MCP security protects the connections between AI agents and the tools, APIs, and data they reach through the Model Context Protocol (MCP). It covers who each agent is, what it is allowed to do, what data passes through, and whether the MCP servers it connects to can be trusted. Without it, agents can act across systems and access sensitive data without consistent oversight.
An MCP security gateway sits between AI agents and MCP servers and checks every tool call before it runs. It enforces agent identity and least-privilege access, applies real-time guardrails and data loss prevention, and records agent activity. PointGuard AI’s MCP Security Gateway provides this as a centralized control plane.
Not always. Third-party MCP servers can contain vulnerabilities or come from untrusted sources, which adds AI supply chain risk. PointGuard AI’s Trusted MCP Knowledge Base rates thousands of MCP servers across security and trust factors, so teams can choose trusted integrations.
It inspects agent prompts and outputs in real time and blocks, masks, or redacts sensitive data before it leaves the organization. Data loss prevention policies are enforced directly at the gateway, so protection applies across every agent workflow and connected system.
Yes. It integrates with enterprise IAM systems, so agent access follows the same identity and access policies the organization already uses.
Our expert team can assess your needs, show you a live demo, and recommend a solution that will save you time and money.
