Artificial Intelligence as a Tool for Countering Cyberattacks: Current Status and Prospects for Ukraine

Abstract

Abstract. The current state of cybersecurity in Ukraine faces unprecedented challenges due to the complexity and scale of cyberattacks. Traditional protection systems based on signatures and static rules are proving obsolete against targeted attacks (Advanced Persistent Threats), zero-day vulnerabilities, and artificially created malware. Of particular relevance during numerous attacks is the protection of critical infrastructure in wartime. The current goal is to analyze modern methods of applying artificial intelligence (AI) to counter cyberattacks and develop practical recommendations for their implementation in Ukraine. The importance of the study is due to the critical need to create an effective and adaptable cybersecurity system capable of effectively countering modern cyber threats. This study proposes to consider topics such as: a combined approach to integrating AI into cybersecurity systems at various levels, specialized algorithms for protecting critical infrastructure, and practical methods for using AI in electronic warfare systems. Modern methods of using AI in cybersecurity involve analyzing the application of artificial intelligence, which has shown promise in the following areas: Machine learning-based intrusion detection systems are highly effective in detecting abnormal network activity. Algorithms analyze behavioral patterns and detect deviations from normal activity, allowing potential threats to be identified at an early stage. Natural language processing technologies are used in the analysis of cyberattacks. They allow automating the process of processing threat reports, extracting key information from unstructured data, and classifying incidents by level of danger. Particular attention is paid to the protection of critical infrastructure facilities. Specialized approaches have been developed for monitoring industrial control systems (ICS/SCADA), which differ from traditional IT systems. AI-based systems monitor technological processes in real time, analyzing equipment performance parameters and detecting anomalies that may indicate a cyberattack. This helps prevent or minimize the consequences of interference with the operation of critical facilities. Research has shown the promise of AI in electronic warfare (EW) systems. Machine learning algorithms can be used for automatic classification of radio signals, identification of radiation sources, and improvement of electronic countermeasure strategies. This will increase the effectiveness of ECE and reduce the response time to threats.