Shufti Document Originality Detection

Document reuse and subtle editing frequently go undetected when documents appear visually correct in isolation. Over time, this creates networks of related accounts that carry elevated fraud and AML risk but remain approved.

Shufti Document Originality Detection allows companies to rescan historic onboarding documents and identify reused base images, altered identity fields, blended portraits, and tampered regions. The AMI is deployed inside the companys AWS account and processes document images without external data transfer.

The engine compares visual structures across documents rather than relying solely on OCR output. This approach exposes organised reuse patterns and composited identities that legacy checks often miss.

Audits can run both as off-flow, in batches or single checks. Teams can target specific time periods, regions, or products and re-check the customer base at minimal cost without affecting live onboarding systems.

Key Features:

• Detect document reuse across approved customer accounts
• Identify tampered regions and composited identity documents
• Reveal hidden document fraud networks in historic data

Document fraud rarely appears as isolated incidents. Shufti Document Originality Detection enables companies to uncover reuse patterns and silent exposure already present in approved accounts.

Deploy directly from AWS Marketplace to audit historic document integrity inside your companys AWS environment.