Financial fraud is becoming increasingly difficult to detect with conventional rule-based systems. As digital payments, mobile banking, instant transfers, digital wallets, and embedded finance ...

Each U.S. consumer has, on average, at least one credit card and two bank cards that are used to make in-person and online purchases, pay bills and send money to others. Collectively, U.S. consumers ...

Consider a common scenario: a check issued to a member in Denver never arrives, only to be cashed days later in Orlando for an entirely different amount. What looks like simple mail theft is often ...

Facing millions of dollars in Web fraud losses, companies cannot rely solely on strong user authentication for online banking, e-commerce and similar sites (as underscored by the Federal Financial ...

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

Researchers have developed a federated deep learning framework that detects financial fraud across banks with high accuracy ...

More than 300 students from Birla Institute of Technology, Mesra, participated in a 24-hour hackathon that challenged them to ...

Socure, an AI platform for digital identity verification and fraud prevention, announced early Wednesday the launch of Hosted Flows, fraud-detection technology that enables users to build, customize, ...

Digital payments have made banking faster and more convenient, but the same speed has created new opportunities for fraudsters. A suspicious transaction can happen within seconds, leaving banks little ...

In August, German banks froze over €10 billion in PayPal payments due to suspected fraud, a disruption that underscored the scale of growing financial security concerns. If even long-standing, trusted ...

BOSTON and PARIS, Nov. 20, 2025 /PRNewswire/ -- The Insurance Council of Australia (ICA), Shift Technology, the leading AI platform for insurance, and EXL, a global data and AI company, today ...

Graph level anomaly detection (GLAD) aims to spot anomalous graphs that structure pattern and feature information are different from most normal graphs in a graph set, which is rarely studied by other ...