eCommerce Fraud Detection
Spotting Fraud in the Checkout
Fraudsters behave differently when buying online, they express high familiarity with the purchase process, their fluency patterns are distinctive, and the way they interact with specific fields can be very uncharacteristic when compared to the behavior and cognitive choices made by real users.
BioCatch tracks how users interact online –on web or mobile - while shopping. By analyzing user interaction BioCatch can identify and alert, in real time, on behaviors that are consistent with criminal activities. BioCatch's eCommerce Fraud Detection identifies fraud typically missed by existing fraud detection controls. It spots suspicious behaviors consistent with fraud and criminal activity, including repeat fraudster access, data familiarity mismatch, account takeover practices, device and network spoofing , and out of genuine profile behavior.
By analyzing user interaction at check-out BioCatch is able to reveal data that until now, was not available,based on the user’s behavior, cognitive choices and interaction analysis.

Online shopping check-out flow. BioCatch tool can distinguish between a fraudster and a genuine customer based on their behavior
How we do it?
BioCatch is looking at several features in order to determine if the buyer is a genuine user or a fraudster:
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Expert user
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Navigational fluency
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Low data familiarity
And the Benefits?
For the Retail
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Reduce chargebacks
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Reduce review time
For the Buyer
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Increase 'user experience'
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Increase online shopping security
