Critical Factors Determining Information Security Maturity in AI Utilization: A Systematic Literature Review
Ammar Fauzan, Imanaji Hari Sayekti · Journal of Artificial Intelligence and Engineering Applications (JAIEA) · 2025
This study aims to identify and synthesize critical factors influencing information security maturity within the context of Artificial Intelligence (AI) utilization in organizations. As AI adoption rapidly escalates across various sectors, it introduces unique and complex information security challenges, necessitating a structured approach to their management. Through a Systematic Literature Review (SLR), we will analyze relevant scientific and professional literature to extract and categorize key information security dimensions and best practices integrated into existing AI maturity models. Particular emphasis will be placed on how these critical factors encompassing technical, organizational, and human aspects directly impact an organization's ability to achieve and sustain higher levels of AI security maturity. The findings of this research are expected to provide a comprehensive understanding of the essential elements required to establish a robust information security posture in AI-driven environments. A primary contribution of this study is to delineate a clear research agenda for future investigations, alongside offering practical guidance for practitioners and decision-makers to assess and proactively enhance their AI security based on these identified determinants.