Overview

Your engineers are using Claude, Cursor, ChatGPT, and Copilot. Each tool connects to GitHub, Slack, and your internal systems. You have zero visibility into what’s connected to what. Your security team can’t answer basic questions:

• Which AI tools are connected to our GitHub?
• Who approved those connections?
• What data flowed through them last month?
• Is PII being sent to model providers?

Each AI tool maintains its own integration settings. Five tools means five separate control points, five places to audit, five different permission models. The control plane is fragmented.

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The Governance Gap

Whether you’ve blocked AI tools entirely or approved them across teams, you’re facing the same problem: Both paths lead to the same place: you need a governance layer.

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What’s At Risk

These aren’t theoretical risks. They’re patterns we see repeatedly across enterprises adopting AI tools.

Shadow Integrations

Without clear policies, employees connect whatever they find. Someone configures their AI tool to connect to Salesforce. They set it up. It works. They tell their team.Now six people are using an integration that security has never reviewed, IT doesn’t know exists, and nobody is monitoring. This is shadow IT, but faster—an employee can connect an AI tool to sensitive systems in five minutes. No ticket, no approval, no audit trail.How Golf helps: All connections route through the gateway. You see every integration, every user, every request.

Unvetted Integrations

An engineer wants to connect their coding assistant to a tool. They find a third-party integration—maybe it has a few hundred stars on GitHub. They download it and run it locally.No security review. No code audit. No verification this is an official integration. And because it’s running locally, there’s no authentication layer, no access controls, no audit logs. Whoever runs it gets full access to whatever it connects to.How Golf helps: Classify and approve integrations. Only approved integrations route through your gateway.

Supply Chain Risks

You approve an integration today. It looks fine.Next week, the maintainer pushes an update. New capabilities added. Behavior changed. Maybe intentionally malicious, maybe just careless. Your AI tools are now running different code than what you reviewed.There’s no versioning enforcement. No change detection. No alert when an integration you depend on modifies its capabilities.How Golf helps: Capability versioning detects when integrations change. New capabilities require re-approval.

PII Leakage

When someone asks Cursor to “summarize this customer file,” that data goes to model providers. No inspection, no DLP.If that file contains social security numbers, credit card data, or health records—it’s now sitting on a third-party server. For fintechs, healthcare companies, and any regulated industry, this can be a compliance violation.How Golf helps: PII scrubbing detects and masks sensitive data before it reaches model providers.

No Audit Trail

When an incident happens, you need to answer: What data was accessed? Which systems were queried? Who initiated the request? What was returned?With fragmented AI tool integrations, you can’t answer any of this. There are no logs. There’s no central record of what data flowed through which tool to which system.When auditors ask how you govern AI access to sensitive systems, “we don’t track that” is not an acceptable answer.How Golf helps: Every request logged with cryptographic integrity. Who, what, when, where—all searchable. SIEM-ready (Splunk, Datadog, Sentinel).

Prompt Injection

AI tools read content from your systems and have access to sensitive data. Attackers can craft malicious content—in GitHub issues, Slack messages, or documents—that hijacks the AI tool when it reads that content, causing it to leak data or take unauthorized actions.In May 2025, security researchers demonstrated this exact attack against popular AI tool integrations with GitHub.How Golf helps: AI-powered prompt injection detection analyzes every message in real-time.

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What is Golf?

Golf is the single governance layer for all AI tool integrations. It deploys in your environment and sits between your AI tools and your systems—one control point for authentication, permissions, data inspection, and audit logging, regardless of which AI tool an employee uses.

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System Architecture

Golf provides centralized governance for AI tools connecting to enterprise systems. The architecture has three main layers:

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Platform Overview

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Component Responsibilities

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Deployment Options

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I Am A…

Find your starting point based on your role.

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Next Steps