Worldpay, Inc. (NYSE: WP; LSE: WPY) is releasing FraudSight a new solution designed to prevent fraud and optimize approval rates potentially boosting revenue across all channels.
Capitalizing on the power of machine learning that looks at billions of transactions, FraudSight makes transaction validity decisions for merchants of all sizes based on a matrix of data points and strategies.
Fraud poses an ever-growing threat to merchants as worldwide card fraud losses reached $28.8 billion in 2018 according to The Nilson Report. That sum is projected to reach $42.3 billion by 2026, with most of that loss stemming from card not present (CNP) transactions, where the merchant often carries more liability.1
"Gaining a nuanced view of risk requires the use of predictive behavioral analytics driven by machine learning to scale mountains of transactions and data sources and make instant decisions," said Rivka Gewirtz Little, research director of worldwide payment strategies at IDC. "Fraudsters are more organized than ever—and often as digitally savvy as those they attack—so merchants should look to highly sophisticated tools if they hope to minimize losses."
Traditional rules-based fraud tools are ill-equipped to keep up with the speed and sophistication of modern day attacks. Unlike rules-based systems, FraudSight's machine learning uses advanced technology to assign deep contextual awareness to each transaction.
FraudSight is uniquely engineered to connect in-store and online transactions, which it uses to build behavioral models from card-specific activity, regardless of channel. The system looks at these behavioral and device biometrics, as well as contextual anomalies, chargeback reputation, and other factors that can help authenticate transactions.
"Managing fraud isn't just about keeping out all of the bad transactions; you also have to ensure that the good transactions are still getting through," said Asif Ramji, chief product and marketing officer at Worldpay. "FraudSight will leverage our unique combination of technology, data and people to help protect our merchants and their customers against the financial threat that fraud poses."