Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...

Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...

Digitalisation has rapidly changed the face of industry and business. Businesses have increasingly integrated modern technologies into their operations to improve real-time activity. However, ...

Explore how Sai Vamsi Kiran Gummadi is transforming financial systems for zero downtime and enhanced security through ...

DataVisor, the world’s leading AI-powered fraud and risk platform, today announced that it has been selected as winner of the “AI-based Fraud Prevention Solution of the Year” award in the 8th annual ...

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 ...

Others leverage AI to monitor customer journeys, identify pain points, and provide seamless virtual assistance. These ...

Srinubabu Kilaru said Bringing version control and CI/CD into data pipelines changed how quickly we could respond to policy ...

With businesses collecting and analyzing vast amounts of data to personalize experiences and improve operations, the need for robust cybersecurity measures has never been greater. However, the more ...