Intellectualization of cyber defense: the role of artificial intelligence in timely detection of anomalies in the context of evolution of hybrid threats

Abstract

Currently, the digitalization of organizations is closely linked to the implementation of information and communication technologies. This renders businesses, government entities, and essential infrastructure dependent on cyberspace, subjecting them to risks, including hybrid threats. Artificial intelligence (AI) is increasingly utilized in cybersecurity because of its capacity to automate extensive data analysis, identify breaches swiftly, and foresee potential threats. Purpose. To validate and examine the possibilities for incorporating artificial intelligence technologies into the organization's cybersecurity system to enhance the effectiveness of anomaly detection and counter hybrid threats as a piece of information and organizational support for management actions in the setting of digitalization. Methods. The research methods are a systematic approach, comparative analysis, modeling, and formalization. Results. In this study, a comprehensive theoretical analysis of the basics of cybersecurity in the context of hybrid threats was conducted. In particular, the main factors affecting the information resilience of organizations were identified. The assessment of contemporary approaches to the categorization and modeling of hybrid threats centers on the part of cyberspace and its effect on the operation of organizational frameworks. Specific consideration is given to examining the potential of artificial intelligence in assuring network security. It further investigates current methods for spotting anomalies and dangers utilizing artificial intelligence technologies, including machine learning, deep learning, and neural networks. Based on the results achieved, the concept of incorporating artificial intelligence tools into the organization's network security administration system is suggested, guaranteeing a boost in its adaptability and resilience versus cyber threats. Directions for streamlining the processes of detecting anomalies and responding to cyber incidents using AI tools are presented. Conclusions. The results indicate that integrating artificial intelligence into network security permits organizations to attain a superior level of defense, react quicker to threats, guarantee business continuity, and preserve customer and partner trust amidst persistent cyber threats.