Protecting and Mitigating Against Cyber Threats

2Application of AI and ML in Threat Detection

Oviya Marimuthu¹, Priyadharshini Ravi² and Senthil Janarthanan^3*

¹Human Genetics and Molecular Biology, Bharathiar University, Coimbatore, Tamil Nadu, India

²Computer Science and Engineering, Bharathidasan University, Tiruchirappalli, Tamil Nadu, India

³Department of Food Technology, Paavai Engineering College (Autonomous), Namakkal, Tamil Nadu, India

Abstract

Modern technologies are needed to detect and efficiently combat the increasingly complex threats that are emerging in the ever-evolving sector of cybersecurity. This book chapter looks in-depth at how machine learning (ML) and artificial intelligence (AI) can be used to improve the systems for identifying and countering these sophisticated threats. The chapter examines the dynamic confluence of cybersecurity, artificial intelligence, and machine learning. It offers insightful information about how these technologies might significantly alter threat defense tactics. This involves putting advanced threats—which can range from sophisticated malware and ransomware to targeted and persistent attacks—into context and highlighting their widespread nature. In order to keep ahead of changing threat landscapes, it highlights the necessity of proactive defense measures that make use of AI and ML’s adaptive and learning capabilities. The investigation is set up to give readers a comprehensive grasp of the problems that advanced threats present and how AI and ML are essential tools for ...