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

Abstract

In this article, the researcher examines the necessity to review the models of building trust in cybersecurity by predominantly focusing on the expansion of insider threats in post-pandemic, remote, and hybrid work environments. This study is based on a game-theoretical modeling of the insider behavior that focuses on the possibility of strategic management and redefinition of trust in organizations in order to avoid any internal threats. Its methodology entails theoretical model-based methodology and analytical case studies that involve the artificial use of data to make realistic situations of insider threats to assess the efficiency of the proposed models. The most important results indicate that the current work structures require updated models of trust, which would provide insider risks detection and prevention to a greater degree with the use of a behavior-based model. This paper will underline the necessity of the development of decentralized cybersecurity activities through the evolution of trust mechanisms and stress the role of game theory in the forecast and governance of insider behaviors. In the end, the findings are very helpful to organizations wishing to enhance their resilience to cyber entrenchments.