Systematic Literature Review on Developing an AI Framework for SME Cybersecurity Identification and Personalized Recommendations

Small and medium-sized enterprises (SMEs) are adopting digital solutions faster, which exposes them to cyber risks. This study aims to develop a framework for SME identification in the context of cybersecurity and fine-tuning an AI model for personalised security recommendations. The literature was systematically identified, screened, and selected following the PRISMA guidelines to ensure comprehensive topic coverage. The study also outlines the factors affecting SME cybersecurity, including limited resources, low knowledge, and complications of cybersecurity products. This research-based framework will help to overcome these challenges by identifying SMEs by their cybersecurity requirements and offering recommendations based on a fine-tuned AI model. The findings suggest that personalised security recommendations can significantly improve SMEs' capacity to proactively manage risks and safeguard their digital assets. This research adds value to the known knowledge by solving a significant problem that SMEs encounter. This framework, integrated with the fine-tuned AI model, will enhance the cybersecurity of SMEs and offer a customisable solution that can be applied to various settings.