Golf is an AI agent and MCP security platform that provides visibility and governance for third-party AI tools like Claude Code, GitHub Copilot, and Cursor. It discovers every AI agent and MCP connection in your environment, enforces granular security policies to prevent data leaks, and maintains comprehensive audit trails for compliance.
Paid
How to use Golf?
Deploy Golf across your endpoints to automatically discover all AI tools and MCP servers. Configure policies to control data access and prevent unauthorized actions. Integrate with your existing identity and SIEM systems. Use the platform to monitor agent activity, block threats in real-time, and generate compliance reports for frameworks like SOC 2 and ISO 27001.
Golf 's Core Features
Automated discovery of all AI agents, MCP servers, and data connections across your entire environment, including shadow IT infrastructure that security teams are unaware of.
Real-time policy enforcement with sub-millisecond latency, allowing granular control per tool, team, and data source to prevent PII exposure and credential leaks.
Comprehensive audit trails capturing every prompt, action, and data access for 90 days, pre-mapped to major compliance frameworks for quick evidence export.
MCP-layer security that works with third-party AI agents like Claude and Copilot that bypass traditional AI gateways, providing visibility where other tools fail.
Enterprise deployment that integrates seamlessly with existing identity providers via SSO and streams all agent activity to your SIEM for centralized monitoring.
Agent threat detection that identifies compromised MCP servers injecting malicious instructions, preventing data exfiltration and permission escalation attacks.
Golf 's Use Cases
Security teams in enterprises can monitor and control unauthorized AI tool usage, preventing engineers from connecting tools like Cursor to sensitive databases without oversight.
Compliance officers can maintain audit-ready records of all AI agent activities, quickly generating reports for SOC 2, ISO 27001, and NIST AI RMF requirements.
Platform engineering teams can govern AI agent deployments at scale, setting boundaries for what tools can access which data sources across the organization.
Financial services companies can prevent AI agents from accessing customer financial data, blocking potential regulatory violations and data breaches.
Healthcare organizations can ensure AI tools don't access protected health information (PHI), maintaining HIPAA compliance while allowing productive AI use.
Enterprise software companies can provide governance for AI tools they don't control, solving the blind spot created by third-party agents making direct API calls.
