ANALYSIS AND FORECASTING OF CYBERSECURITY THREATS

Makarov D. A., Tsaregorodtsev A. V., Mukhin I. N., Volkov S. D.

In the era of widespread digitalization and the development of information technologies, leading to the emergence of new threats to information security (IS), and, in particular, cybersecurity, software vulnerabilities are becoming an even more significant threat to both organizations and individual users. The article conducts research and analysis of software errors and vulnerabilities in the period from 2020 to 2023, based on data from CWE (Common Weakness Enumeration) and OpenCVE (Open Source Computer Vision Library) in the period from 2020 to 2023, and provides a forecast of trends in the development of software vulnerabilities. The identification of key trends in software vulnerabilities is considered, their potential impact in the future is assessed, and strategies for effective response to these threats are proposed. The methodology includes the analysis of lists of the 25 most dangerous software security vulnerabilities and the use of predictive analytics to assess risks. Visualized data and analytical conclusions are presented to identify key risk areas, on the basis of which recommendations are proposed to improve the cybersecurity of the enterprise.

Keywords:Cybersecurity, Software Vulnerabilities, Predictive Analytics, Information Security Risk Assessment, Threat Forecasting