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

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

The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...

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 ...

Fraud detection is no longer enough to protect today’s financial ecosystem. As digital transactions increase, banks require ...

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 ...

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, ...

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 ...