The Federal Reserve has published the third and final research brief in a series on remote authentication fraud. This brief focuses on ways the Fed and industry can work together to improve fraud mitigation, build awareness and engage industry stakeholders.
The Federal Reserve is developing a toolkit of insights and resources to help financial institutions, consumers and businesses address the growing threat of synthetic identity fraud.
The Federal Reserve has published the second research brief in a series, which takes a closer look into payment use cases and authentication methods that can help prevent the most common types of remote authentication fraud.
The Federal Reserve has been working in collaboration with payments professionals over the past two years to research key remote authentication fraud challenges and mitigation efforts. A new research brief explores authentication strategies to address new account fraud, synthetic identity fraud and account takeover 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.
The Federal Reserve convened a cross-industry focus group of 12 fraud experts to develop a recommended definition of synthetic identity fraud.
Anti-fraud professionals have the opportunity to learn about the FraudClassifier model by reading the March/April issue of Fraud Magazine, published by the Association of Certified Fraud Examiners (ACFE).
Tim Boike, Vice President, Federal Reserve Bank of Chicago, provides updates on the Fed’s collaborative efforts with the payments industry on the FraudClassifier model.
A Federal Reserve-convened focus group of fraud experts is on track to publish an industry-recommended definition of synthetic identity fraud in early 2021.
Introduced by the Federal Reserve in June, the FraudClassifier(SM) model provides an intuitive approach to classifying fraud. Explore our video series below to hear from work group members and the Fed team who helped create the model.