[ Use cases · regulated industries ]

AI DLP for the industries that can't afford a leak.

Your teams are already pasting customer records, claims, patient details and citizen data into AI tools. In regulated sectors that's not just a bad habit — it's a reportable incident waiting to happen. Tracehold catches sensitive data on the device, before it reaches the AI, and maps what it finds to GDPR, NIS2, ISO 27001 and SOC 2. Pick your sector to see how.

[ By industry ]

Every sector leaks differently

Banking & finance

Account numbers, transactions and trading notes pasted into AI tools turn confidentiality and DORA obligations into a live data-leak risk.

Insurance

Claims, policy details and health information dropped into AI tools expose policyholders and put your GDPR posture at risk.

Healthcare

Patient records and clinical notes pasted into AI tools are special-category data — a single slip can become a serious GDPR breach.

Public sector

Citizen data and case files entered into unapproved AI tools collide with public-trust duties, NIS2 and the EU AI Act.

[ On-device pipeline · EU-hosted ]

One approach across every sector

One approach across every sector. Detection runs on the device across 2,200+ AI tools and sites with 1,600+ detection patterns; by default the prompt never leaves the browser, and in managed deployments only metadata — type of finding, severity, timestamp — reaches the backend. It's all built and hosted in the EU. See how we protect your data →

See what Tracehold would catch in your sector

Book a demo and start in observe-only mode — see exactly what your teams are sending to AI tools today, mapped to GDPR, NIS2, ISO 27001 and SOC 2, with zero disruption to your people.

Request a demo See pricing