Walmart Inc.
METHODS AND APPARATUS FOR ELECTRONIC DETECTION OF FRAUDULENT TRANSACTIONS

Abstract:

This application relates to apparatus and methods for identifying fraudulent transactions. In some examples, a computing device trains a machine learning process with labelled historical transactions. The computing device may then receive transaction data identifying a purchase transaction, such as at a store or on a website. The computing device may execute the trained machine learning process based on the transaction data to generate a trust score. The machine learning process may determine whether the transaction is being made with a trusted device and trusted payment form, for example, to generate the trust score. The trust score may be used to determine whether the purchase transaction is to be allowed. In some examples, the transaction is allowed if the generated trust score is beyond a threshold. In some examples, the computing device may distrust a trusted device or payment form based on one or more events.