Predictive Modeling for Transactional Fraud Prevention: A Market Overview

Many vendors of predictive modeling systems are already investing in GenAI to further enhance the performance of their systems.

In the ever-evolving landscape of commerce and financial transactions, the battle against fraud has become increasingly complex. Traditional rules-based methods of fraud detection often fall short of identifying sophisticated fraudulent activities promptly. Fortunately, advanced predictive modeling technology has become widely available to support businesses in their quest to combat transaction fraud.

This report presents a market overview of solution providers in the predictive modeling space focused on transactional fraud (i.e., models developed to detect fraud in card payments and A2A transactions). It is based on findings of Datos Insights research and in-depth briefings with 12 major vendors involved with predictive modeling: ACI Worldwide (ACI), DataVisor, Featurespace, Feedzai, FICO, Kount (an Equifax company), LexisNexis Risk Solutions, Mastercard (Brighterion AI), SAS, Sift, Signifyd, and SymphonyAI. The data collection was completed in February 2024, after which each vendor was asked to fact-check the results.

Clients of Datos Insights’ Retail Banking & Payments and Fraud & AML service can download this report.

This report mentions Microsoft, NCR, SWIFT, TSYS, Visa, and Worldpay.

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