Company data is going into tools nobody can see.
Your people adopted AI faster than anyone approved it. That's not a scandal, it's what useful tools do.
The problem isn't that they use it. It's that nobody can see what goes in.
The numbers, plainly
27 AI-powered SaaS apps in use in the average organisation (BetterCloud, 2026 State of SaaS). 60% of AI and SaaS apps in use are unsanctioned or outside IT's control (Zylo's 2026 SaaS Management Index). Almost 40% of workers admit sharing sensitive work information with AI tools without their employer's knowledge.
One prompt is all it takes for regulated data to leave your control. And only 56% of apps in use today carry IT approval, the rest sit outside governance and audit trails entirely. That's a direct risk under UK GDPR and the EU AI Act.
Banning it doesn't work
Block ChatGPT and people use it on their phone. Ban the category and the business loses the productivity everyone else is getting. Neither answer survives contact with a Tuesday deadline.
Most AI use is fine. Some needs a nudge. A little needs stopping. The job is telling the difference, per tool, per person, per action.
See it. Then say yes, with rules.
AI Exposure, inside Browse, sees which AI tools are in use, by whom, and what people do in them, every app and action risk-scored against a catalogue of 2,000+ cloud apps.
Then three policy states, by user, group or action: allow the approved, track the risky, block the rest, uploads, shares and downloads controlled per action. Every decision logged: evidence for the auditor, the insurer or the board, on tap.
AI insights
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