One of Europe's largest payment processors faced a critical challenge: detecting fraudulent documents while maintaining strict GDPR compliance. Here's how Veriafy helped them achieve both.
The Challenge
The company processes millions of identity documents and financial records daily. Traditional fraud detection required:
- •Storing sensitive documents for analysis
- •Exposing personal data to classification systems
- •Complex GDPR compliance processes
- •High risk of data breaches
The Solution
Veriafy's privacy-preserving approach enabled:
- **On-device vector extraction** - Documents never leave user devices
- **Cloud classification** - Only vectors sent for fraud analysis
- **Instant decisions** - Sub-50ms response times
- **Full audit trail** - Without storing personal data
Implementation
The integration took just 3 weeks:
# Client-side (mobile app) vector = veriafy.extract_vector(document_image)
# Server-side def verify_document(vector): result = veriafy.classify(vector, model="veriafy/fraud-detection") log_decision(result.vector_id, result.action) return result ```
Results
After 6 months of production deployment:
- •**94% reduction** in fraudulent documents accepted
- •**Zero GDPR incidents** - No personal data exposure
- •**3x faster processing** - From 500ms to 150ms average
- •**€2.4M saved** in fraud losses annually
Customer Quote
"Veriafy allowed us to implement state-of-the-art fraud detection without compromising our commitment to user privacy. It's the only solution that met both our security and compliance requirements."
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— Chief Risk Officer
Learn More
Contact our enterprise team to discuss how Veriafy can help your organization achieve similar results while maintaining full regulatory compliance.