CYBERSECURITY AND ARTIFICIAL INTELLIGENCE: USING ARTIFICIAL INTELLIGENCE TO DETECT AND PREVENT CYBERATTACKS

Abstract

The article discusses the role of artificial intelligence in the cybersecurity system as a key tool for detecting, analyzing, and preventing cyberattacks. The theoretical foundations of using machine learning and neural networks in protecting information systems are analyzed, and the advantages of intelligent technologies over traditional security methods are shown. Special attention is paid to the concept of behavioral analytics, the use of deep learning algorithms to detect zero-day attacks, and the development of adaptive protection models that can predict and prevent cyber threats in real-time. The article also highlights the ethical and technological challenges associated with the use of artificial intelligence, including the vulnerability of training models and the need to maintain human control over automated systems. It is concluded that the integration of artificial intelligence into the cybersecurity system contributes to the formation of a new level of protection based on self-learning algorithms and big data analytics, which ensures the sustainability of digital infrastructures in a dynamically changing cyberspace.