First party fraud is very common, presenting major problems for issuers, merchants and financial institutions across a variety of fraud use cases. The current pandemic has caused global economic hardship, simply adding fuel to this fire. The old adage, “desperate times call for desperate measures” is becoming more relevant these days and will drive higher rates of first party fraud.
PJ Rohall, Fraud Market Expert and Marco Barsacchi, Data Scientist Researcher, discuss how first party fraud spreads across many fraud use cases and how adaptive fraud modeling is the ideal solution. They also dive into the value of leveraging data across the user journey to provide a breadth of signals for machine learning models to generate insight on consumer behavior.