Shadow AI is the use of AI tools — ChatGPT, Claude, Gemini and others — by employees without IT approval or oversight. It's not a future risk; surveys put it at over half the workforce today. The problem isn't that people use AI. It's that nobody can see what sensitive data is going into it.
Why shadow AI is different from shadow IT
Shadow IT was about unsanctioned apps. Shadow AI is about unsanctioned data flows. When an employee pastes a client contract into ChatGPT to summarize it, that document leaves your environment and lands on a third party's servers — possibly in training data, certainly in logs you don't control. The tool looks harmless; the data movement is the risk. And because it happens in a browser chat box, traditional DLP — built for email and file transfers — never sees it.
Why blocking AI tools backfires
The instinct is to block ChatGPT at the firewall. It doesn't work. Employees switch to personal devices and personal accounts, and now the same sensitive data flows out with zero visibility and zero control. The productivity gain from AI is real, so people will route around any blanket ban. The winning move isn't to stop AI use — it's to make it safe.
What good shadow-AI control looks like
Three things. First, discovery: know which AI tools your team actually uses. Second, control at the point of use: screen what's typed into those tools and redact or block sensitive data before it's sent. Third, evidence: an audit trail of what was caught, so you can prove the control to auditors and answer the 'how do you govern AI?' question. Emil does all three from a browser extension — screening prompts on ChatGPT, Claude, Gemini and more before anything leaves the browser, while logging only metadata, never the content.
Start with visibility, not a ban
You can't govern what you can't see. The fastest first step is to deploy a control that reports which tools are in use and what categories of sensitive data show up — without surveilling the content itself. From there, you turn an unenforceable AI-use policy into a measurable one, and you protect client data without telling your team they can't use the tools that make them faster.