Prospects of using artificial intelligence methods and technologies in networksecurity systems

Abstract

Modern challenges in the field of network security require the development of new approaches and the implementation of advanced tools to enhance cybersecurity effectiveness, which is an urgent problem today. Traditional means of countering unauthorized access to private and corporate networks, as well as to cloud and server data storages, which are based on signature methods, are not always effective against new types of network attacks. Therefore, the integration of artificial intelligence (AI) into cybersecurity makes it possible to improve the efficiency of attack detection and mitigation, as well as to develop modern protective solutions that are more effective in terms of quality criteria and compliance with current standards. Global experience of large-scale
cybercrimes and ongoing projects integrating AI into network security confirms the prospects of using AI both as a standalone tool and as a part of complex systems combined with other technologies.