Modeling the role of generative AI in organizational privacy and security

Abstract

In today's digital environment, organizations face security challenges like intentional breaches influenced by their specific policies and structures. As emerging technologies like Generative Artificial Intelligence (GAI) become more integrated into organizational processes, the adoption of GAI moderates organizational contextual conditions and rule characteristics, which affects the perceived risk of violating security rules. We extend the SOIPSV model to analyze cybersecurity practices and the strategic use of GAI in enhancing organizational resilience against security breaches. We establish the direct and moderating impacts of contextual conditions and rule characteristics, along with interactions in complex organizational cyber security. Our first study uses text mining for inferential and configurational analysis. Our second qualitative study explained the model of dynamic interplay between GAI and organizational factors. Our findings have implications for perceived risk management and managers redesigning business processes to manage security breaches.