Мінімізація цифрових ризиків і загроз економічній безпеці держави із використанням генеративного штучного інтелекту

This study's object is the process that provides for the state's economic security in the context of digital transformation, which is accompanied by the growth of cyber threats and digital risks. Its relevance is predetermined by the urgent need to rethink approaches to cybersecurity and the growing dependence of the economy on information technologies. The issue is the insufficient integration of security-oriented mechanisms into national digital development strategies, which limits the state’s ability to counter hybrid threats and ensure the resilience of critical infrastructures. This study confirms the presence of a statistically significant inverse relationship between the level of information and communication technologies development and cybersecurity (correlation coefficient r = –0.763, p < 0.05), indicating a potential technological imbalance. A concept of digital risk mitigation has been proposed, which integrates generative artificial intelligence (GAI) into the analytical, infrastructural, regulatory, and educational components of the national cybersecurity system. The proposed approach is based on the application of regression modeling, comparative analysis of international indices, graph-analytical visualization, and expert evaluation, providing interdisciplinary coverage of the research domain. It has been shown that the effectiveness of intelligent security solutions depends significantly on institutional maturity, transparency of the regulatory environment, access to data, digital inclusion, and readiness for cross-sectoral cooperation. The findings can be applied to enhance national digital policy and design a strategic framework for integrating GAI into the state’s economic security system, particularly under wartime conditions