In a market accelerating toward instant payments and open banking, a siloed approach to fraud detection is no longer viable.

A new machine learning breakthrough outperforms traditional methods by reducing false positives and minimizing cases needing further inspection, crucial for sectors like Medicare and credit card fraud ...

Forensic analysis has become a cornerstone in the fight against financial fraud, combining accounting, auditing, and investigative skills to uncover and prevent fraudulent activities. As financial ...

Spotting financial statement fraud is crucial. Learn key signs and detection methods to protect your investments from risky ...

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

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

Database design and management are essential pillars of success in the financial sector, where efficient data handling and adherence to regulatory standards are critical. The global market for ...

Traditional techniques for identifying and countering GenAI-enabled vehicle insurance fraud are notably limited, especially ...

With AI technology, payment fraud and fraud prevention have become more complex and sophisticated. Both financial data owners and businesses that accept illegal payments are directly affected by ...

The method also includes steps of sending a request to enrich the transaction data, receiving enriched transaction data and publishing an enriched data event, analyzing the enriched transaction data ...