Counterfeit Check Detection To Reduce Your Risk in Real Time
Counterfeit Check Detection for Financial Institutions
Ordinary check clearing alternatives only verify legal and courtesy check amount limits with low risk scores and can return false positives. Kofax FraudOne® software improves counterfeit check detection by using a unique fraud scoring engine that can be combined with other verification engines to more accurately detect complex fraud schemes.
Why Customers Choose FraudOne
How FraudOne Can Help
Combined Risk Score Engine
Leverages a powerful, continually updated database that stores reference signatures and check stock images, as well as additional account information.
Customized to Your Requirements
Build rule sets or add a variety of verification engine options to detect pre-authorized drafts, payee line and date line verification.
Enterprise Systems Integration
For improved fraud detection and prevention, utilize any number of external inputs to enhance the combined risk score result.
Implement automatic check fraud detection for mobile devices, image- enabled ATMs or teller deposits of in-house checks.
Capture and populate your signature reference database with Kofax SignDoc® and refresh the database with handwritten signatures captured on tablets at the teller.
Access pre-built dashboards or reports to create unique dashboards that feature a full implementation of Kofax Insight™.
- Counterfeit Check Detection - Combat counterfeit checks through a sophisticated fraud scoring engine that accurately detects complex fraud schemes while minimizing labor intensive and time-consuming manual inspections.
- Signature Forgery - Protect against signature forgery by using several verification engines resulting in a more robust combined risk score that evaluates dozens of signature irregularities and variances that indicate fraud.
- Check Alteration - Identify discrepancies on a check between the amounts entered in numbers (courtesy amount) and the amount written in the print line (legal amount), known as CAR/LAR mismatch.