Scientists and analysts move between lab instruments, analysis software, and browser-based AI assistants all day, and regulated data moves with them. A formulation, dataset, or patient record can leave through a paste into a public model, an upload, a synced folder, or a compromised add-on.
Turbo Sandbox confines each application to a policy-bound workspace and governs every path data can take to leave it: network, files, devices, and clipboard alike.
Every application runs with the user's full reach. A result pasted into a public AI assistant, a dataset uploaded to personal cloud, a file synced to a consumer drive, or a compromised plugin beaconing out: each carries regulated data past your controls, with no record of what left, from which app, or under what classification.
Regulated data leaves the endpoint the moment someone pastes it into a public model, uploads it, or syncs it to personal storage. Little record exists of what data left or where it went.
Whatever the path (paste, upload, file copy, or device), the action is evaluated at the workspace boundary: blocked, redacted, or watermarked by classification, then recorded as an audit event capturing who, from which app, to which destination, and what data.