Our system performs comprehensive fraud detection analysis on bank statements to generate an authenticity score and identify potential warning signals. Here’s a detailed breakdown of how it works.
Authenticity Score #
Documents receive a score from 0-100, where:
- 90-100: Document appears authentic
- 70-89: Minor concerns detected
- 50-69: Moderate risk detected
- 0-49: High risk of fraud detected
Analysis components #
1. PDF Metadata Analysis
2. Structural Analysis
3. Transaction Analysis
4. Reconciliation Check
Document Fingerprinting #
The system generates unique fingerprints for documents based on:
- PDF metadata
- Other structural characteristics
These fingerprints are used to:
- Match against known authentic documents
- Detect duplicates or modified versionsBuild a database of trusted document templates
Best Practices #
Always review the specific signals that contributed to a low score
Pay extra attention to documents with multiple high-confidence signals
Consider the context – some legitimate documents may trigger minor signals
