Fed develops new fraud prevention model

Federal Reserve wants model to be voluntarily adopted across US payments system by 2024

US Federal Reserve, Washington, DC

The Federal Reserve has developed a new model to better classify and track fraud across different payment systems, it announced on June 18.

The “FraudClassifier model” sets out how to classify types of fraud in a more consistent way to improve monitoring, the statement says.  

The value of non-cash fraud in 2015 in the US was approximately $8.3 billion, out of $180 trillion of core non-cash payments that year, according to a 2018 report.

The model is designed to be used across the automated

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact info@centralbanking.com or view our subscription options here: http://subscriptions.centralbanking.com/subscribe

You are currently unable to copy this content. Please contact info@centralbanking.com to find out more.

Sorry, our subscription options are not loading right now

Please try again later. Get in touch with our customer services team if this issue persists.

New to Central Banking? View our subscription options

Register for Central Banking

All fields are mandatory unless otherwise highlighted

Most read articles loading...

You need to sign in to use this feature. If you don’t have a Central Banking account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account

.