Debit card skimming grew at the unprecedented rate of 368% from 2021 to 2022, but there are steps banks and consumers can take to combat compromised cards

Artificial intelligence and machine learning models can help banks stop scams, prevent losses to fraudsters and improve customer experience

Credit card and debit card skimming fraud is back with a vengeance in the US, while other fraud types are seeing global growth

How do you prevent first-party fraud and synthetic identity fraud without putting unnecessary barriers in the way of customers?

Synthetic identity fraud is hitting hard and financial institutions are unsure how to deal with it

A key component of stopping fraud, waste and abuse is to focus on your most productive targets: Who or what should be the focus of your payment integrity program?

AI and machine learning have become popular concepts in payment integrity. But how can they help reduce your losses to health care fraud, waste and abuse?

Confirmation of payee has some benefits in fighting authorised push payment fraud, but it also has drawbacks. Here are six.

The pressure for banks to tackle push payment fraud is mounting – besides liability, the scope for bad publicity and loss of reputation is significant.

Given the negative impact of fraud, waste and abuse on health care, it’s in every payer’s interest to focus on these problems. 

So how does a health care payer measure success in payment integrity? How much is enough?