Abstract
The article examines the role of artificial intelligence (AI) in cyber attack detection and prevention systems. The authors analyze the current state of research and technology development in this area, as well as identify prospects and challenges facing researchers and practitioners. The article explores a variety of techniques and approaches to using AI to detect and prevent cyberattacks, including machine learning, behavioral analysis, natural language processing techniques, and more. An example of building a neural network for tracking anomalies is also given.
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