Procurement Fraud

Procurement fraud detection is a critical area of research aiming to develop robust methods for identifying fraudulent activities in purchasing processes. Current research focuses on applying machine learning, particularly neural networks and reinforcement learning algorithms, often incorporating customized approaches to handle the unique characteristics of procurement data, such as multi-modal information in blockchain transactions or textual data susceptible to adversarial attacks. These advancements offer the potential for significantly improved accuracy and efficiency in fraud detection, leading to substantial cost savings and enhanced security for organizations across various sectors.