Leveraging Two Models to Help Fight Fraud and Scams
The Federal Reserve’s video tutorial explains the connection points between the FraudClassifier(SM) and ScamClassifier(SM) models and how to use them together to analyze incidents.
Stand up to Scammers with Information Sharing
A new recommendations report encourages the industry to consider creating a solution or establishing an independent information exchange framework for a holistic view of scam intelligence from existing sources across payment rails.
FraudClassifier Model: Finding Fraud Across Payment Silos
Learn how one technology service provider has integrated the FraudClassifier(SM) model within a new product offering to support financial institutions in better understanding and addressing fraud and anti-money laundering trends.
Scams: A Growing and Costly Problem
Scams are a growing area of fraudulent activity that can happen to anyone. Learn about common types of scams and the ways that fraudsters attempt to deceive their victims.
Taking Action Against Synthetic Identity Fraud
The Federal Reserve engaged experts from across the payments ecosystem to explore how the industry-recommended definition of synthetic identity fraud is being used to help mitigate this type of fraud.