Advancing Cyber Threat Intelligence: Frameworks, Integration, and Strategic Implications
Keywords:
Cyber Threat Intelligence, Threat Information Sharing, Strategic Security, Data IntegrationAbstract
The contemporary digital landscape presents increasingly sophisticated cyber threats that necessitate a rigorous, structured approach to threat intelligence. Cyber Threat Intelligence (CTI) has emerged as a critical component of organizational and national security, providing actionable insights to preempt, detect, and mitigate cyber incidents. This research synthesizes theoretical and practical dimensions of CTI, examining its evolution from raw data collection to strategic intelligence frameworks. Emphasis is placed on the interrelationship between data, information, and knowledge, the psychological dimensions of intelligence analysis, and the role of standardization in threat information sharing. Methodologically, this study adopts a qualitative, literature-driven approach, analyzing the state-of-the-art mechanisms in CTI collection, processing, and dissemination. Findings highlight the importance of collaborative platforms, real-time data integration, and structured exchange formats such as STIX and TAXII for enhancing intelligence efficacy. Moreover, the research identifies critical challenges in data quality, interoperability, and threat attribution, proposing a framework for optimizing intelligence operations. The discussion contextualizes CTI within strategic security paradigms, exploring its implications for policy-making, organizational resilience, and future research trajectories. This study contributes a comprehensive, publication-ready framework that integrates theoretical foundations with actionable intelligence practices, serving as a resource for academics, cybersecurity practitioners, and policy developers.
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Copyright (c) 2025 Dr. Jonathan Mercer (Author)
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