Artificial Intelligence and Machine Learning for Cybersecurity Applications and Challenges

Abstract

This chapter discusses the potential of artificial intelligence (AI) and machine learning (ML) to revolutionize cybersecurity by automating threat detection and response. It reviews the key use cases for AI and ML in cybersecurity, such as network security, threat intelligence, and incident response, and the technical challenges involved in developing AI and ML-based cybersecurity solutions, such as data labeling and model interpretability. It also discusses the broader societal implications of the increasing use of AI and ML in cybersecurity, such as the potential for the creation of new security vulnerabilities and the need for ethical considerations in the development and deployment of these technologies. The chapter aims to provide practical insights and recommendations for organizations looking to implement AI and ML in their cybersecurity strategies, highlighting both the opportunities and challenges that arise when applying these technologies to the complex and rapidly evolving landscape of cybersecurity.