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.
How Teens and Young Adults are Victimized: Understanding Scam Risk Across Customer Segments
Scam losses among teens and young adults are on the rise. Learn more about the opportunities financial institutions have to strengthen education, implement targeted controls and build trust with younger account holders.
Digital Account Onboarding: The First Defense Against Fraud
Digital account onboarding can create new areas of fraud risk for financial institutions. This article highlights several approaches and tools to keep your new account process secure.
Sweet Talk to Financial Ruin: Romance Impostor Scams
Each year, romance imposter scams account for billions of dollars in consumer loss. Learn how to identify and prevent these scams that use relationships to gain the trust of their victims.
When Synthetic Identities and Artificial Intelligence Collide
The latest addition to the Federal Reserve’s Synthetic Identity Fraud Mitigation Toolkit focuses on how generative artificial intelligence (Gen AI) is leveraged to create realistic-seeming synthetic identities.
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.