With nearly three-quarters of major U.S. banks reporting an increase in fraud losses last year, developers of fraud-prevention technology are scrambling to offer solutions. In the latest example, the Portugal-based technology company Feedzai has announced RiskFM, a tool the company says replaces a singular reliance on card-network data with information based on customer onboarding, payments, and other digital activity to detect and prevent fraud.
Card fraud in particular has caught the attention of an increasing number of financial professionals. Reducing fraud and chargebacks has risen from a secondary priority among fraud professionals in 2021 to the top priority in 2025, displacing two other priorities, minimizing operational costs and improving the customer experience. The data were reported by Visa Inc, which worked with the Merchant Risk Council on the report, fielded in November and December among 1,200 e-commerce merchants.
Specifically, the new model from Feedzai new model addresses what the companh says is a problematic reliance on predictability inherent in other fraud models. “Next transactions are far less predictable than the next word in a sentence,” Pedro Bizarro, chief science officer at Feedzai, says in a statement. “Consumer spending habits, payment types, and fraud modes change continuously. More importantly, financial risk is an adversarial domain. Fraudsters actively adapt to evade detection in real-time.”

The new service relies on a rich data set, Feedzai says, adding that its technology examines $9 trillion in global payments volume annually arising from some 120 billion events.
The new offering is also meant to address what the company sees as a frustrating reality in the effort to detect and control payments fraud and other forms of financial crime. Despite advances in technology in recent years, “financial crime has remained stubbornly resistant,” says Sam Abadir, a research director at IDC, a market intelligence company, in a statement.
Payments fraud, in particular, has become increasingly problematic with the increasing use of AI and agentic commerce, observers say.
RiskFM is undergoing testing now with early adopters, Feedzai says, with plans to build up to large datasets and, finally, efforts to tackle what the company says will be “a full suite of use cases.” One such early adopter is Lloyds Banking Group, the company says.

