AI-Driven Cybersecurity: An Overview, Security Intelligence Modeling and Research Directions

This article offers a detailed examination of how artificial intelligence (AI) technologies, including machine learning, deep learning, natural language processing, knowledge representation and reasoning, and expert systems, can be harnessed to enhance cybersecurity in the context of the Fourth Industrial Revolution (Industry 4.0). It emphasizes the potential of AI-driven methods to automate and improve cybersecurity services and management, making the process more intelligent than traditional security systems. The paper reviews various AI techniques for intelligently addressing contemporary cybersecurity challenges, such as cyber threats, attacks, and unauthorized access to Internet-connected systems. It also explores the potential for AI to automate the cybersecurity computing process, thereby enhancing the effectiveness of security measures beyond what conventional systems can achieve.

By presenting a comprehensive view of AI-driven cybersecurity, the authors aim to serve as a reference for both researchers and industry professionals seeking to leverage AI for intelligent cybersecurity solutions. The paper underscores the importance of AI in developing automated, intelligent cybersecurity systems capable of addressing a wide range of security issues with greater efficiency than traditional methods. Furthermore, it highlights several research directions within AI-driven cybersecurity, suggesting avenues for future exploration in this rapidly evolving field. The ultimate objective is to provide guidelines and insights for advancing the integration of AI technologies into cybersecurity practices, thereby contributing to more secure and resilient digital environments.