In the modern world, with the development of new technologies, artificial intelligence (AI) in cybersecurity has become an integral component. Therefore, studying its advantages, risks, and potential use cases is a highly relevant research topic. In today’s digital environment, where cyber threats are becoming increasingly sophisticated, the implementation of AI technologies significantly enhances the effectiveness of security systems by enabling automated threat detection and response. In this study the main applications of AI in cybersecurity were examined, including threat detection, malware analysis, cryptographic security enhancement, phishing protection, and attack prediction. One of the key aspects is the integration of AI into Security Information and Event Management (SIEM) systems, which analyze vast amounts of data and help detect anomalies. Such systems reduce the workload on security teams and improve the accuracy and speed of threat response. Special attention is given to the analysis of modern AI-powered antivirus solutions, particularly Microsoft Defender for Endpoint and Darktrace. These solutions are based on behavioral analysis algorithms and machine learning, al
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