File uploads are the blind spot in your DLP strategy

Most DLP tools see text. The real risk sits in spreadsheets, screenshots and PDFs uploaded every day.

If you think DLP is only text scanning in the input field, you miss the volume. In a typical mid-market day, thousands of data fields leave the company — not through typed prompts, but through file uploads.

Excel lists with applicant data. PDFs with client information. Screenshots where a tax ID is accidentally visible in the browser tab.

Three typical blind spots.

1. Tables with mixed classes.

An HR list contains name, date of birth, IBAN, social security number, and email. A tool that detects only one data class rates the file as harmless.

Real detection must aggregate all classes. Only at file level does the risk become visible.

2. Screenshots.

PNG attachments are invisible in most organizations. An employee makes a screenshot for error documentation — in the background a browser tab shows real customer data.

Local image recognition in the browser closes this gap. No cloud round-trip. No latency.

3. Embedded content in PDFs.

A contract draft as PDF with filled-in client fields. A payroll report. A scanned HR file.

These contents are often more sensitive than any typed prompt. And they travel in standard formats that every tool accepts.

Sensible detection recognizes files in parallel with text. It decides before upload — not after the file already sits on the server.