Golf

Enterprise MCP Control Plane

#Automation #Artificial Intelligence #Developer Tools

Golf Introduction

Golf is an enterprise security and governance platform that secures AI agents and MCP servers by providing centralized visibility, real-time threat detection, and compliance controls. It enables organizations to manage access policies, prevent data leaks, and maintain audit trails for regulatory standards, ensuring safe agentic workflows in the AI era.

Key Features

Real-time threat detection and blocking for AI agent interactions, including prompt injection and PII redaction
Centralized identity and access management with integration to Okta, Azure, or custom identity providers
Comprehensive audit trails and SOC 2 compliance readiness, streaming logs to SIEM tools like Sentinel or Splunk
Deployment flexibility with options for VPC-based or hosted control plane, ensuring zero data exfiltration
Protocol-aware security specifically for MCP servers to prevent attacks like tool poisoning and credential exposure

Use Cases

Enterprises deploying MCP servers as part of their products to secure customer data and prevent security breaches
Companies using AI agents for automation that require governance, compliance monitoring, and access control per user
Development teams building agentic AI applications that need secure MCP integrations and real-time debugging capabilities
Security teams managing AI agent activities, enforcing policies, and ensuring audit readiness for regulatory compliance

Why Startups Use It

Startups need Golf to build secure AI agent platforms efficiently, avoiding costly security incidents and compliance hurdles. It provides out-of-the-box security and governance, allowing them to focus on innovation and scaling while ensuring customer trust and regulatory adherence from the start.

Alternative Options

LangChain, CrewAI, Microsoft Azure AI Security, IBM Watson Governance

Frequently Asked Questions

What is MCP and why does it need security?

MCP stands for Model Context Protocol, a framework for AI agents to interact with tools and data. It requires security to prevent threats like prompt injection, data exfiltration, and unauthorized access, which Golf addresses with real-time detection and controls.

How does Golf handle data privacy and where is data stored?

Golf ensures data privacy by offering deployment in your VPC, so your data never touches their servers, achieving zero data exfiltration. This complies with strict privacy regulations and enterprise security requirements.

What compliance features does Golf provide?

Golf offers audit trails that integrate with SIEM tools like Sentinel and Splunk, providing SOC 2 readiness out of the box. This helps organizations meet regulatory standards and quickly respond to compliance audits.

Who typically uses Golf and what are the benefits?

Golf is used by enterprises and startups building or using AI agents and MCP servers. Benefits include centralized security, reduced risk of breaches, streamlined compliance, and the ability to scale agentic AI safely without custom security implementations.