Unmasking Disinformation: Enhancing Cyber Threat Intelligence through Crowdsourced Analysis and AI-Driven Training

The intersection of Artificial Intelligence (AI) and Cybersecurity holds immense potential but also presents significant challenges, particularly in collaborative and inter-organizational domains. This study explores the critical issue of disinformation in Cyber Threat Intelligence (CTI), focusing on its detection and mitigation through crowdsourced efforts and AI-driven approaches. By generating synthetic CTI datasets and orchestrating a collaborative detection campaign, the study reveals the vulnerabilities of both experts and laypersons to disinformation and the psychological biases that influence decision-making. Key findings highlight the critical role of education and training in improving human proficiency in identifying fake CTI and the transformative potential of AI in enhancing collaborative cybersecurity defenses. This research provides actionable insights into the use of AI for detecting disinformation, protecting collaborative AI systems, and fostering resilient inter-organizational cybersecurity strategies. The study contributes to advancing the cybersecurity domain by introducing a hybrid approach that combines human expertise, AI innovation, and collaborative resilience.