Last year, US banks used real-time machine learning to flag over 90 percent of suspected fraud, yet almost half of chargeback ...

It started with a voicemail from a Hertz rental car location in Miami, Florida. A 57-year-old woman in Los Alamitos, California, was asked when she planned to return a Mercedes-Benz she had never ...

"Data-driven machine-learning models are better suited to adapt to diverse phishing patterns when trained on representative datasets," the authors note. Unlike prior studies using single datasets or a ...

This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author. As the financial impact of first-party fraud continues to rise, Credit ...

Abstract: Now-a-days credit cards have grown significantly because of quick development of e-commerce and online banking. This leads to many fraud transactions. Normally, credit card frauds occur ...

NEWTON TOWNSHIP. AROUND 545. STATE POLICE ARE INVESTIGATING. STATE POLICE ALSO LOOKING FOR A WOMAN WHO THEY SAY USED SOMEONE ELSE’S IDENTITY TO OPEN A CREDIT CARD. IN DAUPHIN COUNTY. POLICE SAY THIS ...

Key insight: Passive, real-time call fraud scoring reduced fraud exposure and improved member experience for MSUFCU. Expert quote: Fraud strategist Frank McKenna said humans can't reliably detect ...

ABSTRACT: Context and Justification: As financial services undergo accelerated digitalization, the expansion of electronic transactions within digital wallets increases vulnerabilities to fraud, ...

The proliferation of digital platforms has enabled fraudsters to deploy sophisticated camouflage techniques, such as multi-hop collaborative attacks, to evade detection. Traditional Graph Neural ...

TransUnion (NYSE: TRU) launched a new solution designed to combat credit washing—the practice of removing legit, accurate and “non-obsolete” credit data from credit profiles. TransUnion’s so-called ...