Shadow AI is your biggest DLP blind spot
Employees paste and upload sensitive documents into AI tools every day. Here's why traditional DLP misses it — and how local-first, pre-upload interception closes the gap.
Every organization now has a shadow-AI problem, whether it knows it or not. Staff across marketing, legal, finance, and support paste client data, contracts, and spreadsheets into ChatGPT, Claude, and Copilot to move faster — and most of it never touches the tools security teams rely on.
The reason is structural. Legacy DLP was built for managed endpoints and network egress. But the modern exfiltration path is the browser: an upload button on a website your network DLP treats as ordinary traffic. By the time content reaches a vendor's cloud to be inspected, it has already left the device.
Watch Dog takes a different approach. It intercepts uploads at the browser layer and scans them on-device, in milliseconds, before the request is ever sent. If sensitive data is found, the user is warned or the upload is blocked per policy — and the organization gets a content-free audit trail.
The result is coverage for the 80% of staff heavy DLP ignores, without shipping a single byte of file content to a third party. It's the affordable first line of defense against accidental data leaks and shadow-AI oversharing — and it deploys in an afternoon.