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

Proactive monitoring tools, such as a third-party hotline platform and data analytics, coupled with employee engagement and a ...

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 ...

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

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 ...

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

A new academic study argues that fraud detection systems must evolve beyond accuracy-focused prediction tools into ...

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 ...

2024 MAY 30 (NewsRx) -- By a News Reporter-Staff News Editor at Health Policy and Law Daily-- Research findings on science and technology are discussed in a new report. According to news originating ...

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 ...