PROSPECTS OF INTEGRATION OF ARTIFICIAL INTELLIGENCE IN CYBERSECURITY SYSTEMS

Abstract

The article examines in detail the application of artificial intelligence (AI) in the field of cybersecurity, emphasizing its key role in predicting and preventing cyber attacks in the face of growing cyber threats. The study shows that 51% of large organizations already use AI to detect threats, and 12% were able to reduce cybersecurity costs thanks to its implementation. The authors propose a theoretical model that includes the stages of scanning the system for vulnerabilities, assessing the possible consequences of their exploitation, predicting attacks on based on the analysis of historical data and behavioral patterns of attackers, as well as the development of complex protection strategies. The theoretical model proposed in the article demonstrates how the integration of AI can significantly increase the effectiveness of cyber security systems, providing a deeper understanding of threats and more effective methods of their prediction and prevention. Special attention is paid to the latest AI technologies, such as OpenAI's ChatGPT, which is based on the principles of reinforcement learning with human feedback. The practical implementation of this model using the latest AI technologies, such as GPT-4, can be an important step in strengthening the protection of information systems against growing cyber threats. The article emphasizes the need for close cooperation between people and technology to achieve optimal results in countering cyber threats. Implementation of AI requires careful planning and constant adaptation of strategies to new challenges. Thus, the use of artificial intelligence in the field of cybersecurity opens up new opportunities for detecting, predicting and preventing cyber threats.