
Golf is a security and governance platform purpose-built for the agentic era. It provides centralized visibility, policy enforcement, and audit trails for AI agents and MCP (Model Context Protocol) servers. Rather than trying to control the LLM itself, Golf monitors and governs every connection between AI tools and your organization's data — catching shadow integrations that traditional security stacks miss entirely.
Golf automatically surfaces every AI agent, MCP server, and data connection in your environment — including the ones nobody told you about. It monitors tools like Cursor, Claude Code, Copilot, and ChatGPT Enterprise, tracking usage, data access, and actions across your infrastructure.
Granular policies let you set boundaries per tool, team, and data source with sub-millisecond latency. Golf blocks PII exposure, credential leaks, and unauthorized access in real-time, routing all traffic through its MCP Gateway for consistent control.
A 90-day trail captures every prompt, action, and data access event. Pre-mapped compliance frameworks mean you can export evidence for SOC 2, ISO 27001, NIST AI RMF, and FINRA audits in minutes — without manual reconstruction.
"Golf gave us governance for AI tools we don't control. That's the actual problem nobody else was solving."
Most security products assume you can lock down the AI itself. Golf takes a different approach: it governs the connections between AI agents and your data, without controlling the LLM or changing how anyone works. This means engineers can keep using their preferred tools — Cursor, Claude Code, Copilot, Windsurf — while security gains visibility and control over what those tools actually access and modify.
Your organization has developers connecting AI coding assistants to production databases, CRMs, or code repositories — and your security team has no idea it's happening. Golf is especially relevant if you're running MCP servers, deploying custom agents, or trying to maintain compliance while teams adopt AI tools faster than policy can keep up.
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