Digital development of control and supervisory activities in the Russian Federation

The article examines the theoretical and methodological foundations of the digital development of control and supervisory activities in the Russian Federation as a management mechanism for improving the effectiveness of protecting legally protected values while reducing the transaction costs of control and the costs of compliance with mandatory requirements. It analyzes the institutional and organizational possibilities for applying blockchain, big data analysis, and artificial intelligence in the architecture of state control and supervision. The purpose of the study is to justify a comprehensive methodological model for the application of these technologies, ensuring the comparability and verifiability of data, the reproducibility of management decisions, and increased trust in the digital traces of control and supervision procedures. Results. As a result of the study, the authors conclude that the digital development of control and supervision activities should be based on a multi-level structure that includes data infrastructure and the technological integration of analytical tools. It shows that big data analysis forms the information basis through the integration of heterogeneous arrays and cross-checking of information, artificial intelligence provides intelligent data processing and increases the uniformity of analytical procedures, while blockchain is appropriate as an infrastructure solution for recording critical data, ensuring the immutability and traceability of operations, which increases the provability of regulatory actions. The conclusion is that the greatest management effect is achieved through the combined use of the three technologies listed above.