About this paper
Traditional modeling and tuning of rules-based systems – while effective at detecting known and recurring patterns of fraud – often return exceptionally high numbers of false positive alerts, mistakenly flag legitimate behaviors as suspicious, and more importantly, are exploited by fraudsters as they learn the rules and how to circumvent them. This white paper summarizes a candid discussion with fraud experts from SAS and Bank of America about what it takes to develop more customer-centric fraud management – factoring in anomaly detection, customer baseline scoring and customer-prescribed risk appetites – to help identify suspicious transactions and networks before the money leaves your premises.
Acerca de SAS
SAS es líder en Analytics. A través de innovadoras soluciones de Analytics, Gestión de Datos y Business Intelligence, SAS ayuda a clientes en más de 83.000 instalaciones a tomar mejores decisiones más rápidamente. Desde 1976, SAS proporciona a sus clientes en todo el mundo THE POWER TO KNOW®