Engaging in Innovation: Highlights from Spring Events
Experts from the Federal Reserve System engaged with the payments industry during key conferences and webinars this spring. Explore highlights from their sessions.
Experts from the Federal Reserve System engaged with the payments industry during key conferences and webinars this spring. Explore highlights from their sessions.
Scams have become increasingly prevalent, but there are ways to prevent them and mitigate losses. Read more about how to stay protected from this type of fraudulent activity.
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.
Explore recent articles that highlight trends, examine relevant studies and provide perspectives on how current and emerging technologies may alter the payments landscape.
The Federal Reserve continues to expand its Synthetic Identity Fraud Mitigation Toolkit with new information on providers of synthetic identity fraud mitigation products and services.
Payments leaders gathered in person and virtually at the annual Chicago Payments Symposium to discuss industry trends, innovations and ways to better serve customers.
The July/August issue of Fraud Magazine, published by the Association of Certified Fraud Examiners (ACFE), features an article co-authored by experts from Federal Reserve Financial Services on how to more effectively fight synthetic identities used for fraud involving payments.
The most recent additions to the Federal Reserve’s Synthetic Identity Fraud Mitigation Toolkit offer new information about fraud detection technology, data sharing and the value of fraud information sharing within the industry to help fight synthetic identity fraud.
The latest release of the Federal Reserve’s Synthetic Identity Fraud Mitigation Toolkit includes tools to help differentiate real customers from synthetics using identity validation tools and alternative data, and resources on how to identify synthetics at different stages of the relationship.
The FraudClassifier(SM) model helps organizations speak the same language and obtain a holistic picture of fraud involving payments. Learn how Alloya Corporate Federal Credit Union is using the model with their existing fraud tracking approaches.