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Description

Detect and Prevent Check Fraud in Real Time With an Image-Based Solution

As technology advances, criminals continue to devise more sophisticated and hard-to-detect fraud schemes with 75% of surveyed banks stating that checks are the primary fraud target in their business. Signature verification and/or check stock comparisons are no longer enough for you to catch increasingly savvy criminals.

Developed in collaboration with six of the leading banks in the US, Kofax FraudOne is a comprehensive check image platform that enables you to detect fraud in real time and on Day 1 and Day 2 transactions.

Unlike simple check clearing alternatives that only verify legal and courtesy check amount limits with low risk scores and high false positives—the solution’s unique fraud scoring engine can be combined with other verification engines to more accurately detect complex fraud schemes and mitigate your exposure.

Improve Check Fraud Prevention with a Robust Combined Risk Score

Employ a sophisticated fraud scoring engine that can be combined with a number of optional verification engines, resulting in a robust combined risk score for enhanced fraud detection. By considering a number of weighted factors and leveraging information from external systems, you can make intelligent decisions to more accurately identify and prevent fraudulent checks.

Minimize Exposure through Flexible Fraud Detection Methods

Detect anomalies in check signatures and check stock images to reduce your overall fraud risk exposure. Leverage flexible fraud detection methods applicable at the point of capture and in-clearing as your financial institution offers ever-evolving transaction options (e.g., remote deposit via a mobile device).

Reduce Costly Manual Inspections of False Positives

Decrease time-consuming, costly manual inspections of false positives with highly effective distinguishing between real suspect items and good items. Your in-house fraud analysts are only needed when an item is truly suspicious.

 

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Kofax FraudOne
Kofax FraudOne

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