What Hinders Adoption of Artificial Intelligence for Cybersecurity in the Banking Sector

AI-enabled cybersecurity systems are becoming common, but their effectiveness is reported to be mixed at best due to some barriers. The primary objective of this systematic literature review is to find barriers associated with the use of AI-enabled cybersecurity systems. A comprehensive systematic literature review approach was implemented in this study. Literature sampled from different databases (Scopus and WOS) was synthesised to synthesise barriers associated with using an AI-enabled cybersecurity system, and a total of 41 papers were selected using systematic inclusion criteria. The study identified several barriers, such as the complexity of systems, lack of top management support, lack of AI-proficient employees, and lack of regulatory support for AI. These barriers are classified into technological, organisational, and environmental. This paper is unique as it focuses on the barriers associated with using advanced technologies such as AI-enabled expert systems for cybersecurity. Thus, the current research makes a novel contribution, arguing that attention is required toward organisational-level issues to protect the system from cyberattacks. This will establish the way for researchers to evaluate these barriers, opening new avenues for empirical research and for practitioners to utilise these systems more effectively.