Forrester’s Ming Liu discusses how AI will help improve fraud detection within the financial services industry.

Unlike traditional single-address and wallet anomaly detection methods, this algorithm captures potential crypto-wallet fraud more comprehensively by focusing on users' anomalous behaviors.

Deepfake fraud is propelling dramatic market growth in deepfake detection. Innovatrics and 3Divi are the latest entrants to ...

The global shift toward digital banking has been dramatic, with the volume of cashless transactions increasing year over year. While this growth signals progress in financial technology, it has also ...

Fraud is no longer merely a nuisance. It’s become a significant, evolving threat that can cost businesses more than money. It ...

The continuous evolution of fraud necessitates equally advanced AI solutions that detect known fraud types and adapt to emerging threats.

GCP's AI Agents are not just an evolution; they are a new paradigm poised to redefine customer engagement, operational ...

While risk management and fraud detection are critical, data science extends far beyond these areas, creating new opportunities for growth, efficiency, and innovation in the financial industry.

The report, Coded Injustice: Surveillance and Discrimination in Denmark’s Automated Welfare State, details how the sweeping use of fraud detection algorithms, paired with mass surveillance practices, ...

The DWP algorithm has "wrongly flagged" 200,000 people for possible fraud and error, according to the Guardian newspaper.