Money Mule Detection in Banking: Signals, Controls, and Analytics for Fraud Teams
Money mule detection in banking: mule account signals, rapid funds-out behavior, graph analytics, payment controls, AML handoffs, and fraud KPIs.
Tag banking fraud
Fraud Analytics KPIs for Banking Teams: Measuring Risk Before Losses Become Reports
A practical guide to fraud analytics KPIs for banks, covering loss, false positives, APP scams, mule risk, instant payments, and AI model governance.
Authorized Push Payment Fraud: Why Banks Struggle to Stop APP Scams
This guide explains why banks struggle to stop authorized push payment scams and what fraud teams can do to detect manipulated intent, risky recipients, mule-account behavior, and payment journey red flags.
First-Party Fraud in Banking: The Hidden Threat in Plain Sight
What Is First-Party Fraud? First-party fraud in banking is an increasingly critical issue that occurs when real customers use their own identity to commit fraudulent acts. It is a major contributor to financial losses, particularly in U.S. institutions. First-party fraud…
