Golf discovers AI-agent connections, applies tool-access policies and records activity for enterprise governance.
Golf is a governance platform focused on AI agents and their connections to business systems through MCP. Its official presentation starts with discovery: identifying the tools, servers and data connections operating inside an organization, including connections that may not have passed through a formal deployment process. This is different from providing the language model itself. The product is intended to sit around the agent's access to systems and help an organization understand what it can reach and what actions it takes.
The platform describes an MCP gateway where policies can be applied by tool, team and data source. Advertised controls address unauthorized access and exposure of sensitive information or credentials. Audit functionality records prompts, actions and data access, with evidence-export features intended to support governance reviews. Identity-provider integration and activity streaming to monitoring systems connect these controls with the existing enterprise stack. The website names several popular coding assistants and MCP-compatible agents, but exact coverage should be tested against the clients and server implementations actually in use.
Deployment should begin with an inventory and a clear definition of acceptable agent behavior. Use safe test records to check allowed and denied operations, then confirm that identity mapping and audit records match the real user action. Review what happens when a connection bypasses the intended gateway or a policy cannot be evaluated. Public pricing is not specified. The site's references to compliance frameworks describe its governance positioning, not a legal opinion or a guarantee that using Golf makes an organization compliant. Security and compliance teams still need to determine the relevant obligations, appropriate retention and response procedures for their own environment before relying on the system in production.
