I. Introduction
The ever-evolving landscape of cyber security has become an intricate battleground where the rapid advancement of technology has unleashed both new opportunities and challenges. In an era marked by the proliferation of digital interactions and the increasing dependency on online systems, the protection of sensitive information and critical infrastructures has taken center stage. As a result, organizations and individuals are increasingly turning to cutting-edge technologies like machine learning to safeguard their digital assets and networks. This comprehensive analysis explores the multifaceted approach of enhancing cyber security through machine learning, drawing upon insights and research from various sources. The primary focus of this analysis revolves around four critical aspects of cyber security, each leveraging the capabilities of machine learning for improved defense and threat mitigation: anomaly detection, malware detection, network traffic analysis, and the integration of security chatbots.