ABSTRACT
Cybersecurity threats are evolving, becoming more complex and challenging to thwart with traditional security protocols. In response, organizations are increasingly leveraging advanced technologies such as Artificial Intelligence (AI) and Machine Learning (ML) to enhance their defensive mechanisms. This book serves as an exhaustive guide on the application of AI and ML within the realm of cybersecurity. It aims to furnish readers with a deep understanding of AI and ML fundamentals alongside their practical utility in cybersecurity domains. Structured into ten comprehensive chapters, the text systematically addresses the integration of AI and ML across various cybersecurity functions including malware defense, threat intelligence, network security, and more. Initial chapters introduce the core principles of AI and ML in cybersecurity, progressing to elaborate on their roles in enhancing traditional cybersecurity approaches through real-world case studies. This book elucidates the transformative potential of AI and ML in fortifying cybersecurity measures, equipping readers with the knowledge to navigate the current landscape and anticipate future technological advancements. Targeted at a broad audience, from industry professionals to academics and cybersecurity aficionados, this text demystifies the intersection of AI, ML, and cybersecurity, offering indispensable insights into leveraging these technologies for robust cybersecurity solutions.

Keywords: cybersecurity, artificial intelligence, machine learning, threat intelligence, malware detection, network security, incident response, security analytics, compliance, application security, cloud security.