The role of information and analytical technologies in the risk management system and ensuring the economic security of customs authorities

Abstract

This article investigates the role of information and analytical technologies in enhancing the risk management system (RMS) of customs authorities to ensure economic security. In the context of growing global trade volumes and emerging security threats, traditional control methods are proving insufficient. The study employs a mixed-methods approach, including systems analysis and functional modeling, to evaluate the impact of digital tools on customs efficiency. The authors analyze the evolution of customs technologies from basic digitization to intelligent analytics. A novel integrated model, the "Intelligent Customs Security Shield" (ICSS), is proposed, which utilizes Artificial Intelligence and machine learning to create a dynamic, self-learning risk assessment environment. The results demonstrate that the transition to this data-driven model significantly reduces false positives, optimizes resource allocation, and improves the detection of fiscal and security violations. The study concludes that advanced analytical technologies are a critical prerequisite for balancing trade facilitation with robust economic security