DETECTION AND AUTOMATIC MITIGATION OF COMPUTER NETWORK ATTACKS USING ARTIFICIAL INTELLIGENCE

This article presents a method based on artificial intelligence (AI) technologies for detecting and mitigating various types of attacks targeting computer networks. The research focuses on the issue of advanced cyber threats that are capable of bypassing traditional security measures. An intelligent system combining machine learning algorithms with real-time network traffic analysis has been developed. This system enables the identification of potential attack types and behaviors, followed by mitigation strategies based on experimental research findings. Analysis of experimental results demonstrated that the proposed system achieves higher detection accuracy and faster response times compared to commonly known protection tools. The proposed method and developed algorithm are recommended for detecting and neutralizing threats that may cause moral or financial damage in real-time across various organizational and corporate computer networks.