Methodological and practical aspects of using artificial intelligence in the activities of Russia finance monitoring agency
https://doi.org/10.34020/1993-4386-2025-3-58-65
Abstract
The article discusses the technologies of artificial intelligence and big data analytics used or planned to be implemented in the activities of Rosfinmonitoring. It analyzes current trends and advanced methods of automating the detection of illegal and suspicious transactions, as well as algorithms for detecting anomalies and potential threats to economic security, which are used by Rosfinmonitoring. The article also covers the implementation of automated solutions in the financial monitoring system and their role in creating a secure and transparent economy. The research findings demonstrate the potential for improving the effectiveness of economic security measures through the use of innovative automation technologies.
About the Authors
A. M. Vyzhitovich
Siberian Institute of Management – branch of the Russian Academy of National Economy and Public Administration under the President of the Russian Federation;
Novosibirsk State University of Economics and Management;
Institute of Economics and Organization of Industrial Production of the Siberian Branch of the Russian Academy of Sciences
Russian Federation
Russian Federation
Aleksandr M. Vyzhitovich – Candidate of Economic Sciences, Associate Professor
Novosibirsk
Ya. O. Kameneva
Siberian Institute of Management – branch of the Russian Academy of National Economy and Public Administration under the President of the Russian Federation
Russian Federation
Russian Federation
Yana O. Kameneva – student
Novosibirsk
O. V. Panagushina
Siberian Institute of Management – branch of the Russian Academy of National Economy and Public Administration under the President of the Russian Federation
Russian Federation
Russian Federation
Olga V. Panagushina – student
Novosibirsk
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Review
For citations:
Vyzhitovich A.M., Kameneva Ya.O., Panagushina O.V. Methodological and practical aspects of using artificial intelligence in the activities of Russia finance monitoring agency. Siberian Financial School. 2025;(3):58-65. (In Russ.) https://doi.org/10.34020/1993-4386-2025-3-58-65
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