Protecting and Mitigating Against Cyber Threats

Preface

In today’s rapidly evolving digital landscape, the sophistication and frequency of cyber threats have reached unprecedented levels. With each technological advancement comes the potential for exploitation, challenging organizations and security professionals to continuously innovate their defense mechanisms. Among the most promising innovations are Artificial Intelligence (AI) and Machine Learning (ML), which have revolutionized cybersecurity by offering dynamic, adaptive, and highly efficient solutions to combat evolving threats.

This book is designed to guide readers through the critical role that AI and ML play in modern security frameworks. It explores the foundational concepts of these technologies within the context of cybersecurity and highlights their practical applications and the advanced solutions they enable.

The book is structured into three comprehensive sections:

Part I: Foundations of AI & ML in Security

This section introduces the core principles of AI and ML in the context of cybersecurity. Readers will learn about the essential algorithms, models, and techniques that form the backbone of AI-driven security solutions. This section is crucial for understanding how these technologies can be harnessed to build smarter, more resilient security systems.

Part II: AI & ML Applications in Threat Detection

This section delves into real-world applications of AI and ML in detecting and preventing cyber threats. From identifying anomalous behaviors to predicting ...