AI-driven threat intelligence: Strengthening cyber defense mechanisms in international cybersecurity frameworks

Barakat, Abdullateef (2025) AI-driven threat intelligence: Strengthening cyber defense mechanisms in international cybersecurity frameworks. International Journal of Science and Research Archive, 14 (3). pp. 598-615. ISSN 2582-8185

The rapid evolution of cyber threats in an increasingly interconnected world requires advanced solutions beyond traditional cyber security measures. The intelligence of threats given by Artificial Intelligence (AI) emerged as a transformative tool, improving the mechanisms of threat detection, prevention, and response. This study explores the role of AI in strengthening cyber defense in international cyber security structures. In order to analyze AI applications such as machine learning, Deep Education and behavioral analysis, research evaluates its effectiveness in reducing civilized cyber threats. In addition, the study investigates challenges related to AI adoption, including inter -efficiency, moral concerns and regulatory sanctions. This research highlights the intervals of existing cyber security structure through a qualitative approach, including case studies and comparative analysis. It proposes strategic recommendations to integrate AI-oriented threat intelligence into global policies. The results contribute to the academic discourse and the practical formulation of policies, emphasizing the need for international cooperation in the leverage of AI for the resilience of cyber security.