Mastering Cybersecurity using Generative AI

"Mastering Cybersecurity using Generative AI" is a comprehensive, practical, and forward-looking textbook designed to bridge the gap between the theoretical concepts of Artificial Intelligence and the practical demands of modern Cybersecurity. It serves as both a university-level textbook and a professional's guide to understanding and leveraging the transformative power of Generative AI in defending our digital assets.


Key Features of This Book:


1. Globally Compatible Syllabus: The topics covered are universal and map directly to cybersecurity and AI courses in universities worldwide, ensuring international relevance.
2. Beginner to Advanced Trajectory: The book starts with the absolute fundamentals, making no assumptions about prior AI expertise, and systematically builds up to advanced models and a complex capstone project.
3. Hands-On Practical Approach: Learning is reinforced through extensive hands-on labs, code examples (in Python), step-by-step tutorials, and practical implementation guides in every chapter.
4. Real-World Case Studies: Each concept is contextualized with real-world examples and case studies, from AI-generated phishing attacks to using GANs for security data augmentation.
5. Comprehensive Coverage: The book provides a 360-degree view, covering the design, architecture, frameworks, implementation, deployment, and functioning of AI-driven security solutions.
6. Complete Capstone Project: The final chapter is a detailed guide to building a live, portfolio-ready DIY project—an AI-Powered SOC Analyst Assistant—complete with full working code and explanations.
7. Clarity and Simplicity: Complex topics are explained in the simplest and most feasible manner, using intuitive analogies and clear, step-by-step instructions to ensure maximum comprehension.



To Whom This Book Is For:


This book is primarily intended for:

1. B.Tech/BE Students: Undergraduates in Computer Science, IT, and Cybersecurity engineering streams will find this book perfectly aligned with their curriculum, especially under the NEP 2020 and AICTE frameworks.
2. M.Tech/ME Students: Post-graduate students specializing in Cybersecurity, Data Science, or Artificial Intelligence will benefit from the advanced topics, research directions, and in-depth capstone project.
3. Cybersecurity Professionals: Security analysts, threat hunters, penetration testers, and SOC managers who wish to upgrade their skills and integrate AI into their operations.
4. AI/ML Practitioners: Data scientists and AI engineers who are interested in applying their skills to the critical domain of cybersecurity.
5. Researchers and Academicians: Individuals looking for a structured resource on the intersection of Generative AI and cybersecurity for teaching or research purposes.


Welcome to the future of digital defense!!