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 ...

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

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

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 ...

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 ...

Novel Non-Linear Logistic Regression Analysis achieves 99.2% accuracy in identifying fraudulent medicare claims, promising enhanced fraud-protection benefits and a reduced systemic healthcare burden ...

AI-driven fraud detection expert, Omoyeni Ogundipe, has explained how businesses can harness technology to mitigate theft. She spoke at a news briefing, noting AI-driven fraud detection is a tool to ...