Die FICO-Datenschutz-Regeln erläutern die Erfassung und Verwendung von Cookies durch FICO. Cookies helfen uns, Ihre Einstellungen zu speichern, um Ihnen eine bessere Benutzererfahrung zu bieten, die Leistung der Website zu bewerten, zu überwachen und zu verbessern und unseren Partnern zu ermöglichen, bei Ihnen Werbungen zu schalten. Sie können die Cookies deaktivieren, indem Sie die Einstellungen in Ihrem Browser ändern, und Sie können uns anweisen, Cookie-Daten nicht an Dritte weiterzugeben. Mit der Nutzung dieser Website stimmen Sie der Verwendung von Cookies wie in den FICO-Datenschutz-Regeln beschrieben zu.
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.