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.
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.
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.
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.
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.
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.