THEORETICAL APPROACHES TO THE APPLICATION OF ARTIFICIAL INTELLIGENCE ALGORITHMS IN CYBERSECURITY SYSTEMS
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Abstract
This article examines the theoretical approaches to applying artificial intelligence algorithms in cybersecurity systems. The study focuses on the role of AI technologies in threat detection, monitoring network attacks, identifying malware, and analyzing anomalies. In addition, the research highlights the importance of modern approaches such as machine learning, deep learning, and neural networks in improving the effectiveness of cybersecurity systems.
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