ARTIFICIAL INTELLIGENCE AND CYBERSECURITY THREATS: REDEFINING INTERNATIONAL COOPERATION

The rapid advancement of artificial intelligence (AI) technology has yielded considerable advantages across several sectors while also presenting novel cybersecurity threats. The study aims to investigate the impact of AI regulations and international cooperation on the Frequency and Severity of Cyber Incidents. The research used a descriptive methodology, using quantitative analysis via regression models, to assess the impact of AI rules on cybersecurity results. The study delineates critical elements influencing the efficacy or ineffectiveness of AI regulation, including the degree of international collaboration, the implementation of standards, and the flexibility of regulatory frameworks in adapting to advancing AI technology. The results indicate that well-structured AI legislation might markedly reduce the occurrence and intensity of cyber events, especially when aligned internationally. Nonetheless, obstacles like as political impediments, varying regional agendas, and the rapid evolution of AI technology hinder the establishment of effective worldwide rules. The research underscores the significance of ethical issues in AI governance, prioritizing openness, accountability, and justice. This study enhances the existing literature on AI governance and cybersecurity by offering empirical information about the influence of legislation on AI-associated cyber threats. The study provides significant insights for governments, organizations, and academics aiming to improve AI security and foster international collaboration. Future studies must examine the shortcomings of existing regulatory frameworks, analyze sector-specific AI rules, and assess the influence of human factors in AI-related cybersecurity issues.