Fraud detection requires leveraging new tools and models to keep ahead of increasingly sophisticated fraud. Financial institutions use AI to detect and prevent billions of dollars of fraud each year ...

Kinil Doshi is a Senior VP at Citibank and a fintech expert in banking compliance and risk management with two decades of experience. In this article, I want to explore AI applications in fraud ...

Transaction fraud has become a growing concern, posing serious risks to businesses. It threatens financial security and ...

Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...

Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...

With AI technology, payment fraud and fraud prevention have become more complex and sophisticated. Both financial data owners and businesses that accept illegal payments are directly affected by ...

Available to Motive Card customers, the new fuel fraud control tool integrates telematics from the Motive platform, enabling organizations to customize spending limits, automatically decline ...

BECKLEY, WV (WVNS) – Many people today are using AI to help them write, create content, and organize information. Did you know the tech could also be helping to protect your wallet? AI is being ...

Mastercard is using AI to help detect and prevent credit card fraud. The company says the tech can flag unusual patterns and block fraudulent transactions. This article is part of "AI in Action," a ...

Fraud detection is a high-stakes game of cat and mouse, with retail businesses continually adapting to outsmart increasingly sophisticated fraudsters. As ecommerce losses from online payment fraud ...

AI has been used to defraud people through everything from calling voters to faking celebrity giveaways. Now, the US Treasury Department claims machine learning AI has played a critical part in its ...

Fraud detection is no longer enough to protect today’s financial ecosystem. As digital transactions increase, banks require systems that can assess risk with precision.