The federal government’s bet on using artificial intelligence to fight financial crime appears to be paying off. Machine learning AI helped the US Treasury Department to sift through massive amounts ...

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 ...

Payment disbursements are a critical component of modern commerce, but they also present a significant challenge: how to prevent fraud. Prateek Mehta, a payments expert and product manager at ...

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 ...

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 ...

Payment Service Providers (PSPs) need fraud detection systems that can anticipate and adapt to emerging types of fraud whilst maintaining the delicate balance between security and customer experience.

Fraudulent activities within the financial services sector have escalated into a significant concern, with projections indicating that online payment fraud could result in losses exceeding $206 ...

Fraud in food delivery platforms is a growing threat, draining restaurant revenue and eroding customer trust. From account takeovers to sophisticated GPS spoofing and device manipulation, fraudsters ...