If a transaction is initiated using a device or behaviour ... While risk management and fraud detection are critical, data science extends far beyond these areas, creating new opportunities ...

His latest research, featured in the International Journal of Enhanced Research in Science, Technology & Engineering, is titled "Investigating Fraud Detection in Insurance Claims using Data Science." ...

Director Bill Pulte termed “something big on mortgage fraud,” Fannie Mae said it has launched an AI-powered Crime Detection ...

Fannie Mae (FNMA) teamed up with AI software company Palantir (PLTR) to expand its fraud-detection capabilities using ...

As criminal organizations expand their use of information technology, the frequency of global financial fraud rises to ...

Shared data networks and real-time pattern recognition are crucial for detecting and blocking emerging AI-driven fraud.

Fraud detection requires leveraging new tools and models ... Criminals commit financial fraud in a variety of novel ways, such as hacking data from the dark web, using generative AI to create more ...

Unsupervised Learning: AI identifies fraud patterns without labeled data, using anomaly detection techniques like autoencoders and clustering algorithms. • Deep Learning: Recurrent Neural ...

This initiative aims to strengthen the financial stability of the insurance sector and ensure the sustainability of group ...

Android’s “Scam Detection” protection in Google Messages will now be able to flag even more types of digital fraud.

March 26, 2025 /PRNewswire/ -- A new report from Conning, 2025 Workers' Comp Study: Using Data & AI ... integration of AI and advanced data analytics into fraud detection processes is a game ...