ABBYY is recognized as a leader in Everest Group’s Intelligent Document Processing (IDP) Products PEAK Matrix® Assessment 2024.
Back to glossary
Document Fraud Detection
What is Document fraud detection?
Document fraud detection is the use of AI to identify falsified, altered, or counterfeit documents by analyzing visual and content-level inconsistencies that indicate manipulation.
How AI identifies fraudulent documents
AI-powered fraud detection examines documents for signs of tampering, including:
- Altered numerical values
- Inconsistent fonts or spacing that suggest field replacement
- Mismatched metadata
- Implausible data combinations
- Structural anomalies that deviate from authentic document patterns
Common document fraud types
Document fraud appears across a wide range of business workflows. Typical examples include:
- Income statement falsification in loan applications
- Forged identity documents in KYC and onboarding workflows
- Manipulated invoices in accounts payable
- Fabricated certificates in insurance claims
Where document fraud detection fits in your workflow?
Document fraud detection is typically applied as an automated screening step within intelligent document processing (IDP) workflows, flagging suspicious documents for investigator review before downstream processing proceeds.
Frequently asked questions
How common is document fraud, and how fast is it growing?
1 in 3 documents submitted during onboarding or underwriting show signs of structural tampering, and high-risk document volumes grew 28.5% year over year. Learn more in the AI document fraud detection guide.
Why can't manual review catch document fraud reliably?
Alterations are designed to pass visual inspection; 70% of fraud signals are invisible to the human eye. At scale, serial fraud operations can submit thousands of altered documents simultaneously, making human screening impractical. See how AI-powered fraud detection fits into IDP workflows.
What types of document fraud does AI detection cover?
Detection spans basic metadata tampering through to template fraud, synthetic identity fraud, and AI-generated documents. Techniques include font analysis, layout grafting detection, and cross-field validation. Explore ABBYY's document fraud detection capabilities.
