Human-Centric Approaches in Real-Time Cyber Threat Intelligence Fusion

Abstract

In today's interconnected digital landscape, cybersecurity threats pose significant challenges to organizations worldwide. Real-time cyber threat intelligence fusion is crucial for promptly identifying, analyzing, and mitigating these threats. While technological advancements have enabled automated systems to process vast amounts of data, human-centric approaches play a pivotal role in enhancing the effectiveness of threat intelligence fusion. This paper explores the significance of human involvement in real-time cyber threat intelligence fusion, examining how integrating human expertise, cognitive capabilities, and contextual understanding can augment automated systems to provide more comprehensive and actionable intelligence. By emphasizing the synergy between human analysts and automated tools, organizations can strengthen their cyber defense mechanisms and mitigate the evolving threat landscape effectively.