Shufti Document Deepfake Detection

Generative AI can now produce identity documents that pass OCR, template checks, and visual review. Many of these documents were approved before forensic-grade document analysis became necessary, creating silent exposure in the customer base.

Shufti Document Deepfake Detection treats each historic ID document as a forensic object rather than a source of extracted text. The engine analyses fonts, layouts, logos, backgrounds, and security features to identify AI-generated documents and fabricated templates that mimic genuine IDs.

The AMI runs inside the companys AWS environment and processes historic onboarding documents in batches. Clear outcomes allow compliance and fraud teams to measure synthetic document exposure using real data rather than theoretical threat models.

This off-flow audit enables companies to re-check historic approvals or single checks at minimal cost and strengthen document acceptance policies without disrupting live onboarding journeys.

Key Features:

• Identify AI-generated and fabricated identity documents
• Expose synthetic IDs that passed legacy document checks
• Quantify document deepfake exposure across 2023-25 onboarded customers

AI-generated documents often enter systems long before detection controls mature. Shufti Document Deepfake Detection provides a controlled way to rescan historic approvals and understand real exposure.

Deploy directly from AWS Marketplace to assess document deepfake risk inside your companys own cloud environment.