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, ...

Overview: AI-powered fraud detection tools are rapidly being adopted by banks and fintechs to block scams and reduce losses.New platforms combine machine learni ...

• Young Accounts (2 To 6 Months): The danger escalates. Fraudsters demonstrate patience, slowly establishing consistent, ...

The Federal Reserve is racing to keep pace with a new kind of systemic risk, as OpenAI’s leadership warns that generative ...

“Fraud detection today is about precision, not just protection. The ability to differentiate legitimate customers from suspicious activity in milliseconds is what separates high-performing businesses ...

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

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, ...

Michigan State University Federal Credit Union avoided $2.57 million in fraud exposure through blocking AI deepfake fraud calls with Pinpoint products.

As criminal organizations expand their use of information technology, the frequency of global financial fraud rises to historic levels each year, posing significant challenges for governments and the ...

Paisalo Digital, a systemically important non-deposit taking NBFC, has unveiled an advanced AI-powered customer profiling and ...

When embedded within a case management framework, Agentic AI can detect subtle anomalies, highlight inconsistencies, and surface patterns traditional systems miss.