AI is already inside your organization.

Almost certainly more people than IT has approved. Microsoft Copilot is now built into everyday productivity tools, and employees add ChatGPT, Claude, Gemini, and other tools on their own, often with good intentions and no visibility to security. The starting point isn’t a policy. It’s an accurate picture of what’s actually in use.

This is the concern we hear most often. Employees paste contracts, customer data, source code, and internal documents into AI tools every day, usually to save time, not to cause harm. Once that information leaves your systems, you lose the ability to control where it goes or who can see it.

Often, yes. A personal ChatGPT or Gemini account has none of the protections a company-managed AI tool can offer: no data retention controls, no audit trail, no way to know what was shared. That’s different from something like Claude Code, which developers use inside company-controlled environments and can be governed like any other engineering tool.

A policy nobody can enforce is just a document. Enforcement starts with knowing where AI is actually being used, then setting rules that match how people really work. In practice, that’s usually a mix of clear guidance and monitoring through tools you already have, not a single blanket restriction that pushes people toward tools you can’t see at all.

Developers were among the first to adopt AI, through tools like Copilot and Claude Code that write, review, and ship code. The goal isn’t to slow that down. It’s to build security into how AI-assisted code moves from an editor into production, the same way you’d secure any other part of the development pipeline.