Database engineer Sai Vamsi Kiran Gummadi is advancing real-time fraud detection in finance using machine learning and bi ...

New book explains how AI and machine learning are transforming banking through fraud detection, credit risk modeling, ...

Storing fewer raw PII files means less confidentiality exposure and a reduced control burden (8). If a verifier relies on a cryptographically signed proof rather than a database of passport JPEGs, ...

DataVisor, the world's leading AI-powered fraud and risk management platform, released its 2026 Fraud & AML Executive Report, revealing an AI Readiness Gap between rising concern over AI-driven fraud ...

Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...

In today’s rapidly evolving digital landscape, fraud and financial crime have become increasingly complex and create pervasive issues for organizations of all sizes and specialties. As a result, ...

With the April 2026 deadline approaching, insurers are expected to accelerate investments in digital fraud detection systems and cross-industry data sharing platforms as the sector transitions towards ...

The surge in digital payments and mobile banking has transformed financial services but it has also expanded the fraud landscape. Traditional, rule-based fraud detection methods are increasingly ...