Surviving a Scam: Managing the Impacts and Moving Forward
Learn how financial institutions can provide support to scam victims by helping them manage financial loss and prevent future fraud.
Protecting Customers During Stressful Moments: Understanding Scam Risk Across Customer Segments
Learn how criminals exploit life transitions like home buying, grief, and disasters to perpetrate scams—and what financial institutions can do to protect vulnerable customers.
User Insights: Strengthening Scam Mitigation with the ScamClassifier Model
One year in, user feedback shows the ScamClassifier(SM) model is a powerful tool for fraud prevention across the payments ecosystem, driving targeted detection, better internal education and smarter scam response.
Addressing Deposit Fraud Using Both the ScamClassifier and FraudClassifier Models
Individuals can be deceived or manipulated with fraudulent check deposits. Learn how these schemes work and how to detect check scams using the ScamClassifier(SM) and FraudClassifier(SM) models.
Romance Scams: Another Look at Check Fraud Using the ScamClassifier Model
Learn how fraudsters target unsuspecting victims through relationship and trust scams to carry out check fraud – and how the ScamClassifier(SM) model can be leveraged for more robust prevention and customer education.
Leveraging the ScamClassifier Model for Check Scams
Fraudsters often leverage fraudulent paper checks to help perpetrate scams. Learn how the ScamClassifier(SM) model can assist in identifying the root cause of the fraud that occurred due to a scam.
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.