Reconstructing Trust Models in Professional Cybersecurity: A Game-Theoretic Approach to Insider Threat Prevention in Post-Pandemic Workflows

Abstract

With a primary emphasis on the growth of insider threats in post-pandemic, remote, and hybrid work settings, the author of this paper analyses the need to reevaluate the models of establishing trust in cybersecurity. A game-theoretical model of insider behavior is the basis of this study, which aims to help firms avoid internal dangers through strategic management and a rethinking of trust. Analytical case studies and theoretical model-based methodology comprise its methodology. The former uses data artificially to create genuine insider threat scenarios, while the latter evaluates the efficacy of the suggested models. Importantly, the results show that existing organizational structures necessitate new trust models, which, when combined with a behavior-based approach, would allow for better detection and avoidance of insider hazards. In this work, we will highlight the importance of game theory for insider behavior forecasting and governance, and we will argue that decentralized cybersecurity efforts must evolve through trust mechanisms. Organizations looking to strengthen their resistance to cyber entrenchments will find the results to be quite useful.