Reducing fraud losses with enhanced CNP models on the FICO® Falcon® Platform

Executive Brief
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White Paper

The 2018 FICO® Falcon® consortium models (both credit and debit) contain new machine learning innovations focused on card-not-present (CNP) transactions. From a user perspective, you should be aware that the CNP performance improvements in these models are significant. With CNP accounting for up to 90% of card fraud losses in some geographic regions, early detection of fraudulent CNP transactions was the primary focus in development of these new models. You should also be aware that Falcon scores produced by these models for CNP transactions will function very differently than traditional Falcon scores that you are used to managing. Prior to upgrading your models, you should review existing rules and block/unblock strategies to ensure that your fraud strategies and operational workflows are designed to properly accommodate these scoring changes. This document is intended to provide you with additional information on the changes and highlight the items you should take action on in order to ensure a smooth transition with these model enhancements.
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