DOI: 10.33917/mic-2.127.2026.44-52

The article is devoted to substantiating the importance of the concept of dynamic economic security of an enterprise in the context of digital transformation and high turbulence of the external environment. The limitations of traditional static models of «perimeter» protection, which lose their effectiveness due to information overload and non-linearity of economic processes, are analyzed. The hypothesis is substantiated that the level of security of modern business is determined by the quality and speed of management decisions. A dynamic security architecture based on a symbiosis of artificial intelligence (for 24/7 operational response) and collective intelligence (for strategic thinking) is proposed. The necessity of transition from extrapolation forecasting to scenario modeling and management of a multi-criteria choice is argued. The principles of business resilience are formulated as the ability to maintain a development trajectory through controlled changes and cognitive convergence of heterogeneous data.

References:

[1-21] See in no. 1/2026, p. 50-52.

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32. Abramov V.I., Stolyarov A.D. Digital Business Ecosystems: Typology and Design. Modern Economy Success. 2025;6:370-379. DOI 10.18334/vinec.15.4.124210

DOI: 10.33917/mic-1.126.2026.67-70

The present article substantiates the relevance of introducing a risk-oriented approach and industrial safety management systems in the context of increasing industrial and organizational risks. Particular attention is paid to forming a strategy for the development of an industrial safety system, assessing the level of its maturity and applying audit as an effective tool for professional risks management. It is shown that transition from a reactive model of occupational safety to proactive management system, based on risk prevention, contributes to reducing the level of injuries and developing a culture of industrial safety.

References:

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DOI: 10.33917/mic-1.126.2026.42-52

The article is devoted to substantiating the importance of the concept of dynamic economic security of an enterprise in the context of digital transformation and high turbulence of the external environment. The limitations of traditional static models of «perimeter» protection, which lose their effectiveness due to information overload and non-linearity of economic processes, are analyzed. The hypothesis is substantiated that the level of security of modern business is determined by the quality and speed of management decisions. A dynamic security architecture based on a symbiosis of artificial intelligence (for 24/7 operational response) and collective intelligence (for strategic thinking) is proposed. The necessity of transition from extrapolation forecasting to scenario modeling and management of a multi-criteria choice is argued. The principles of business resilience are formulated as the ability to maintain a development trajectory through controlled changes and cognitive convergence of heterogeneous data.

References:

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DOI: https://doi.org/10.33917/es-5.185.2022.52-59

The article dwells on the concept of building intelligent, knowledge-based decision support systems. A formalized risk management system is proposed. Based on the system, the author puts forward a solution to a particular problem from the banking sector in implementing projects related to distressed assets. Description and requirements to the tool for development, implementation and use of expert systems are presented.

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This article discusses development of a strategy for banking risks management, aimed at ensuring the economic security of a bank in the current economic conditions. Banks influence functioning of large enterprises, whose successful operation provides the country’s economic security.

In Russia it is usual during strategic planning process not to study enough and not to take into account the impact of global processes and risks on the Russian economy and the level of its economic security. The article provides a solution of this problem based on an integrated approach to studying the global risks impact. The authors have improved the technique of the World Economic Forum (WEF) for global risks quantitative assessment and have proposed the methodology of assessing the global risks impact on the Russian economy. On the basis of data from the “WEF report on global risks — 2014” the authors demonstrate the method’s application for obtaining estimates characterizing the degree of the global risks impact on the Russian economy and the level of its economic security. In conclusion, materials on the indicative assessment of the global risks impact on the Russian economy according to the 2015 data are presented.