Artificial Intelligence, Machine Learning, and Deep Learning for Cybersecurity Solutions: A Review of Emerging Technologies and Applications

Abstract

The increasing intricacy and advancement of online dangers have required the creation of more advanced cybersecurity methods, with artificial intelligence (AI) becoming a crucial asset in this area. This document offers an in-depth overview of the most recent developments and upcoming technologies in AI-powered cybersecurity solutions, including machine learning (ML), deep learning (DL), natural language processing (NLP), and reinforcement learning (RL). Various aspects of cybersecurity utilize these AI technologies, including threat detection, response, network security, and data protection. The research carefully examines new studies to pinpoint main developments and uses, emphasizing the growing dependence on AI to tackle various cybersecurity issues. An examination of keyword cooccurrence uncovers the primary topics and connections in AI-driven cybersecurity studies, while a cluster analysis organizes these topics into separate subcategories, offering a systematic look at the research field. The results highlight the important contribution of AI in improving cybersecurity measures and provide useful guidance for future research. The integration of AI technologies is predicted to enhance security measures and drive innovation in diverse domains as cyber threats keep evolving.