Open Access
EVOLVING PARADIGMS AND FUTURE TRAJECTORIES IN CYBER THREAT INTELLIGENCE
4
Department of Information Security, King Saud University, Riyadh, Saudi Arabia
4
Emirates Center for Cybersecurity Research, United Arab Emirates University, Al Ain, UAE
Abstract
Cyber Threat Intelligence (CTI) has emerged as a cornerstone of modern cybersecurity, enabling organizations to anticipate, detect, and respond to evolving threats. As the cyber threat landscape becomes increasingly dynamic and complex, CTI paradigms are undergoing significant transformation. This paper explores the evolving paradigms of CTI, tracing its shift from reactive models to predictive and proactive frameworks driven by automation, artificial intelligence, and threat contextualization. Through a comprehensive analysis of current methodologies, tools, and applications, the study identifies key trends such as collaborative intelligence sharing, integration with Security Operations Centers (SOCs), and real-time threat hunting. It also examines the challenges in data quality, standardization, and adversarial deception. Finally, the paper outlines future trajectories for CTI, emphasizing the need for adaptive, interoperable, and intelligence-driven security ecosystems.
Keywords
Cyber Threat Intelligence (CTI),
Evolving Cybersecurity Paradigms,
Threat Detection,
Predictive Intelligence
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