
Feedzai
Inbound Payment Fraud Detection and Mule Risk Modeling Guide
Pages
18
Time to read
16 mins
Publication
Language
English

Pages
18
Time to read
16 mins
Publication
Language
English
This case study explores the critical need for inbound payment fraud detection and mule risk modeling in compliance with Bank Negara Malaysia's guidelines. It highlights the shift in focus from victim to criminal, detailing effective strategies for identifying mule accounts and preventing fraudulent activities. The document provides insights into monitoring inbound payments, the benefits of advanced detection techniques, and best practices for financial institutions to mitigate risks associated