Frequently Asked Questions

FAQs for the FraudClassifierSM Model

  1. What is the FraudClassifier model?
    • The FraudClassifier model provides an intuitive approach to classifying fraud. The model offers a holistic picture to help organizations better understand the magnitude of fraud involving payments. Each of the classifications is supported by definitions that allow for consistent application of the FraudClassifier model across the industry.
    • The key advantage of the FraudClassifier model is the ability to classify fraud independently of payment type, payment channel or other payment characteristics.
  2. Why should an organization consider adopting the FraudClassifier model?
    • To facilitate consistent fraud information and tracking. The FraudClassifier model can be applied across an organization to help ensure greater internal consistency, more robust information and better fraud tracking.
    • To improve customer education. The FraudClassifier model may help an organization better understand fraud to more effectively educate its customers on current fraud methods and how to protect themselves from being victimized.
    • To better understand fraud across payment types and fraud methods. The FraudClassifier model was designed to help classify fraud for multiple payment types and fraud methods. Such insights can improve fraud response strategies.
    • To speak the same language about fraud. If adopted across the payments industry, the FraudClassifier model can facilitate a common fraud language and help us work together to better identify and fight fraud, fostering a safer payment system for all.
  3. How can the FraudClassifier model offer an organization a more holistic view of fraud?
    • The FraudClassifier model allows an organization to obtain a holistic picture of both authorized and unauthorized party fraud. It can be used to classify fraud initiated by either an authorized party or unauthorized party – two types of fraud that demand different fraud management responses.
    • Fraud initiated by an authorized party is often overlooked and underreported. By using the FraudClassifier model, which includes both, an organization can understand the “big picture of fraud.”
  4. Who developed the FraudClassifier model, and for what purpose?
    • The Federal Reserve established and led the Fraud Definitions Work Group to help address the industrywide challenge of inconsistent classifications for fraud involving ACH, wire or check payments.
    • The work group met in 2019 and 2020, and brought together relevant expertise and a range of experience from across the payments industry. A full list of members can be found on the Fraud Definitions Work Group webpage.
  5. Did the Fraud Definitions Work Group get input from payments industry stakeholders on the FraudClassifier model before finalizing? How was it tested to ensure it offers appropriate coverage of fraud in the industry?
    • In October 2019, a draft of the FraudClassifier model was shared with members of the Fraud Definitions Community Interest Group (CIG), a subset of the FedPayments Improvement Community members that have indicated their interest in this topic, with an accompanying testing exercise to gauge the overall intuitiveness of the model.
    • The CIG is comprised of 1,300 industry stakeholders and subject matter experts who signed up to follow FDWG developments and provide input on its deliverables.
      • CIG members were asked to classify payments fraud scenarios using the FraudClassifier model.
      • The survey responses provided valuable insights into areas for further refinement and affirmed that the FraudClassifier model is intuitive for payments stakeholders.
  6. What is the industry adoption roadmap proposed by the Fraud Definitions Work Group?
    • The industry adoption roadmap is a strategy and potential steps to encourage voluntary industrywide use of the FraudClassifier model to achieve a more consistent dialogue on fraud, both within and across organizations. It recommends two actionable paths for advancing industry implementation – adoption of the FraudClassifier model within organizations, and integration of the FraudClassifier model into industry fraud studies.
    • Voluntary industrywide adoption of the FraudClassifier model could serve as an important step toward improving the consistency of fraud classification and providing the ability to speak the same language about fraud.
  7. Where is FraudClassifier model classification data stored, and who has access to it?
    • Organizations decide independently how to use and implement the FraudClassifier model, including where and what data to store, as well as who has access to the data.
  8. Why does the FraudClassifier model differentiate between payments initiated by an authorized party from those initiated by an unauthorized party?
    • These two types of fraud demand very different fraud management responses.
    • By using the FraudClassifier model, which includes both, an organization can understand the “big picture of fraud.”
  9. Can I use the FraudClassifier model to classify fraud beyond ACH, wire or check?
    • The FraudClassifier model was designed with the flexibility to extend beyond ACH, wire and check payments, and to incorporate other fraud types.
  10. What if an organization has questions about the FraudClassifier model, or ideas to improve it?
    • Use this form to contact the Federal Reserve with questions or comments – or speak with us during our ongoing industry engagement sessions.
  11. How can interested parties learn more about the FraudClassifier model and start using the model?
    • Visit the FraudClassifier model webpage to learn more – and register to access educational resources and support tools for the FraudClassifier model as a member of the FedPayments Improvement Community, such as a fraud classification tool that incorporates the FraudClassifier model.
  12. Why do we have to register to gain access to the FraudClassifier model?
    • The Federal Reserve is requesting registration to help track users and gather industry feedback about overall usability and enhancement opportunities. Additionally, the inclusion of other payment and fraud types will be evaluated, allowing the Federal Reserve to update industry stakeholders who signed up.
  13. Is use of the FraudClassifier model mandatory?
    • No. Adoption of the model is completely voluntary, and its release does not create any regulatory requirements, supervisory expectations or mandates in any way. Voluntary sharing and use of the FraudClassifier model is encouraged industrywide. Learn more by reviewing the industry adoption roadmap and the FraudClassifier disclaimer below.

Sharing and use of the FraudClassifier model throughout the industry is encouraged; any adoption of the FraudClassifier model is voluntary at the discretion of each individual entity. The FraudClassifier model is not intended to result in mandates or regulations, and does not give any legal status, rights or responsibilities, nor is the FraudClassifier model intended to define or imply liabilities for fraud loss or create legal definitions, regulatory or reporting requirements. Absent written consent, the FraudClassifier model may not be used in a manner that suggests the Federal Reserve endorses a third-party product or service.

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