Abstract: The subject of the study is to study the effectiveness and efficiency of measures for the development of the nuclear energy industrial complex, taken during the implementation of the relevant state program. Data from nuclear energy, investments and innovative projects are analyzed, taking into account compliance with the strategic goals of economic security. These measures are designed to ensure the stability of the Russian economic system and minimize potential risks. An important component of the study is also the analysis of the compliance of these measures with the general state strategic goals of ensuring economic security.
The study is based on an analysis of data on the current state of the Russian nuclear energy sector, investment and innovation projects implemented within the framework of the program under consideration, as well as an assessment of their impact on the economic situation of the country. The research methodology includes a comprehensive analysis of the current state of the nuclear energy industrial complex, as well as a study of investment and innovation projects implemented within the framework of the program.
The assessment of the implementation of the state program of the Russian Federation "Development of the nuclear energy-industrial complex" allows us to say that the analysis of program implementation indicators shows positive dynamics and achievement of the set goals. High performance indicators, such as a high degree of readiness of power units, an increase in electricity generation, an increase in the number of results of intellectual activity and the creation of new jobs, indicate the successful implementation of the program.
The results of the study will be useful for developing further strategies and adjusting program measures aimed at increasing the stability of the economic system and minimizing risks, taking into account national strategic goals.

Abstract: The subject of the study is the analysis of the main areas of application of artificial intelligence technologies in the financial sector based on domestic and foreign practice, the object is artificial intelligence technologies in order to ensure economic security. The authors note that the possibilities of using artificial intelligence in the financial sector have been developing rapidly in recent years, bringing significant benefits in terms of efficiency, increased accuracy and cost-effectiveness. The development of digital technologies leads to the creation of new services that help increase the level of economic security. AI-based solutions are used in various areas of finance, including risk management, fraud detection, customer service, trading and investment analysis. This study examines the current state and future potential of artificial intelligence in the financial sector, the advantages and disadvantages of using such technologies, as well as recent trends and developments in this area. The information base of the study was made up of analytical materials of the Central Bank of the Russian Federation, scientific reports, reports of international consulting companies, studies of foreign IT corporations, scientific publications and statistical data of the Federal State Statistics Service. It is noted that artificial intelligence has the potential to transform the financial market, is an important tool for ensuring economic security. It allows you to create more secure and reliable financial management systems, as well as increase the transparency and efficiency of financial transactions. Similarly, artificial intelligence can also revolutionize tax administration by facilitating compliance and risk management, reducing errors and fraud, and increasing transparency and fairness in the tax system. The use of artificial intelligence in finance and taxation is expected to increase significantly in the coming years, with new solutions constantly emerging that can simplify and automate financial processes.