Home  Journals  Regional Economics: Theory and Practice  6(537) - 2025 June

The use of digital tools to reduce the impact of asymmetric information on risk management and ensure economic security

Received: 28 October 2024

Accepted: 4 December 2024

Available online: 26 June 2025

Subject Heading: ECONOMIC SECURITY

JEL Classification: C38, D81, D82, D83, D87

Pages: 112-126

https://doi.org/10.24891/btikfs

Subject. This article discusses the issues related to the functioning of economic entities in the digital space, minimizing risks in financial and economic activities, and developing machine learning technologies.
Objectives. The article aims to search for tools that can help provide the maximum limitation of the human factor influence when recording of events that are of significant importance to risk management.
Methods. For the study, we used statistical, cluster, and case study analyses, survey, and interviewing.
Results. The article finds that epistemic uncertainty has a significant impact on the effectiveness of internal auditing, as information asymmetry can remarkably distort risk criteria and influence management decision-making. The use of artificial intelligence and big data processing technologies contributes to improving the quality of information support for the risk management process.
Conclusions. Digital processing of information flows using clustering algorithms optimizes the internal audit process, improves the accuracy of forecasts by reducing the impact of asymmetric information on risk management, which ensures the economic security of economic entities.

Keywords: risk, asymmetric information, clustering algorithm, economic security

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