The bibliometric analysis identified four major thematic clusters: machine learning for fraud detection, artificial ...

In her research paper titled “Deep Learning Architectures for Automated Fraud Detection in Payroll and Financial Management Services: Towards Safer Small Business Transactions,” Singireddy has ...

Adaptive detection of fraud is the core of Challa’s work, a system where deep-learning architectures can adjust dynamically in response to changing patterns of fraud.

In my experience, building an intelligent digital banking system with fraud detection requires four key elements: cloud platforms, identity verification processes, adaptive ML techniques and ...

The Financial Fraud Detection and Prevention market is set to grow from $24.31B in 2024 to $42.62B by 2029, driven by rising digital transactions and Tuesday, 02 January 2024 12:17 GMT عربي ...

In Nigeria’s rapidly digitizing financial sector, fraud remains a persistent threat. In 2021, four Nigerian banks, Access Bank Plc, Guaranty Trust Bank Plc, First City Monument Bank, and Wema ...

A new Dark Economy Survey from BioCatch has highlighted the disturbing trend of how AI is aiding financial fraud ...

Adaptive Learning: AI systems consistently acquire knowledge from fresh data, adjusting to changing fraud techniques and maintaining an advantage over fraudsters' tactics. AI fraud detection tools ...

The Financial Fraud Detection and Prevention market is set to grow from $24.31B in 2024 to $42.62B by 2029, driven by rising digital transactions and increasing fraud threats. With major players ...