Network DLP vs Browser DLP for AI Tools
Your existing DLP was built for email, USB, and cloud storage. None of it can see what an employee pastes into ChatGPT — the traffic is encrypted and the leak happens in the input field. Here is how the two approaches compare, and why AI tools need a browser-level control.
| Capability | Network DLP | Browser DLP (AIovert) |
|---|---|---|
| Sees plaintext pasted into ChatGPT / Claude | ||
| Works without decrypting TLS traffic | ||
| Blocks before data leaves the device | Sometimes | |
| No proxy / certificate install required | ||
| Detects data typed character-by-character | ||
| Scans attached files (DOCX, PDF, CSV) | Partial | |
| Raw content never collected | ||
| Per-tool, per-user audit log for AI use | ||
| Covers email, USB, cloud storage |
Why the difference matters for AI tools
Every paste into an AI tool without a Data Processing Agreement is a potential GDPR Article 28 breach, and Article 32 requires an appropriate technical measure — not just a policy. Network DLP can't provide that measure for AI tools because it can't see the content. A browser extension can: it classifies the text on-device, cancels the paste when it contains sensitive data, and logs the event without ever storing the content.
The pragmatic answer: run both
Keep your network and endpoint DLP for email, USB, and cloud. Add browser DLP for the AI surface they can't reach. That's the gap AIovert closes — across ChatGPT, Claude, Gemini, Copilot, Grok and 15 other tools, deployed via Google Workspace or Intune in 15 minutes.
See the gap for yourself
Paste a (fake) record into the free paste test and watch what an AI tool receives — and what AIovert would send instead.