Abstract
The cybersecurity industry is increasingly implementing AI into processes and tools to relieve professionals. However, the high level of responsibility, paired with the black-box nature of AI, affects acceptance. Using qualitative methods, this study examines the underlying factors driving AI technology acceptance in the cybersecurity industry. Accompanying the acceptance process of a cybersecurity organisation allows the collection of longitudinal data through interviews before approaching AI and participant diaries while implementing AI. The data revealed that acceptance is a context-dependent network of cognitive divisions, affective reactions, normative influences, personality traits, and behavioural commitment. This study contributes by emphasising that technology acceptance is a multidimensional orientation rather than a linear process.