Every frame
has an owner.
Visual fingerprinting for leak attribution
Every screen leaves a digital fingerprint. Frame Trace invisibly captures, indexes, and matches visual content to trace any leak back to its source with 95-99.9% accuracy.
Three steps to trace any leak
Capture
Silent desktop agent captures screen frames every few seconds, segmenting content into an invisible grid.
Fingerprint
Each segment receives a unique perceptual hash—a compact digital fingerprint representing visual content.
Trace
When a leak appears, we compare against billions of fingerprints to identify the exact source in seconds.
Enterprise-grade protection, invisible to users
Built for security teams who need reliable leak attribution without disrupting workflows.
Invisible Protection
Users never see it. No watermarks, no visual changes—just silent monitoring.
Photo-Resistant
Works even on photos of screens taken with mobile phones.
GDPR Friendly
Only hash fingerprints stored—no actual images or personal data.
Compression Resistant
Robust against JPEG compression, cropping, resizing, and blur.
Lightning Fast
Search through millions of fingerprints in under a second.
Cross-Platform
Works on Windows, macOS, and Linux. Plug & play deployment.
Scalable
From small teams to enterprise—thousands of endpoints supported.
Audit Trail
Complete forensic reports with timestamps and confidence scores.
Minimal Footprint
Under 100MB RAM, ~5% CPU every 5 seconds. Users won't notice.
Why visual fingerprinting wins
Traditional methods have significant drawbacks. Frame Trace combines the best of all worlds.
Steganography
- Lost when photographing the screen
- Not resistant to JPEG compression
- Detectable and removable
- GDPR risk with hidden personal data
Visual Watermarks
- Easily cropped, covered, or blurred
- Negative UX impact—users notice
- No robust verification mechanism
- Doesn't work in third-party apps
Behavioral Forensics
- Only provides probability, not proof
- Multiple users may view same content
- Depends on complete logging
- Cannot detect phone photography
Frame Trace
- Invisible—zero UX impact
- Works on phone photos of screens
- GDPR compliant—hash only, no images
- Resistant to crop, blur, compression
- 95-99.9% attribution accuracy
- Sub-second search in billions of records
Perceptual hashing meets scalable indexing
Frame Trace uses SimHash and locality-sensitive hashing (LSH) combined with approximate nearest neighbor (ANN) search to match visual fingerprints at scale.
- Desktop agent captures & preprocesses screen frames
- Privacy filters mask sensitive areas before hashing
- SSIM-based local deduplication reduces storage
- Time-partitioned indexing for efficient queries
- Bayesian scoring for match confidence
Ready to trace your frames?
Get in touch to learn how Frame Trace can help your organization detect and attribute screen leaks.