EMPOWERMENT OF ARTIFICIAL INTELLIGENCE (AI) IN PREVENTING AND DETECTING RANSOMWARE: AN ANALYTICAL REVIEW

Abstract

Ransomware is an emerging cyber threat that requires innovative and flexible solutions. Using recent advances in machine learning, deep learning, and explainable AI, this study explores the potential of artificial intelligence (AI) to identify and stop ransomware. AI significantly improves detection and response speed in networks, the Internet of Things (IoT), and mobile devices, according to previous and ongoing studies. Explainability and transparency are becoming increasingly important, particularly in light of the growing challenges posed by generative AI. One of the primary research gaps, notwithstanding these developments, is the development of standardized, interpretable, real-time AI models that can adjust to various ransomware variations. By evaluating current approaches and suggesting paths toward a more scalable and efficient AI-based defense system, this study closes that gap.