About the Book: 

Traditional vs Generative AI Pentesting: A Hands-On Approach to Hacking explores the evolving landscape of penetration testing, comparing traditional methodologies with the revolutionary impact of Generative AI. This book provides a deep dive into modern hacking techniques, demonstrating how AI-driven tools can enhance reconnaissance, exploitation, and reporting in cybersecurity assessments. 

Bridging the gap between manual pentesting and AI automation, this book equips readers with the skills and knowledge to leverage Generative AI for more efficient, adaptive, and intelligent security testing. By blending practical case studies, hands-on exercises, and theoretical insights, it guides cybersecurity professionals, researchers, and students through the next generation of offensive security strategies. 

The book offers comprehensive coverage of key topics, including: 

·       Traditional vs AI-Driven Pentesting: Understanding the evolution of security testing methodologies

·       Building an AI-Powered Pentesting Lab: Leveraging Generative AI tools for reconnaissance and exploitation

·       GenAI in Social Engineering and Attack Automation: Exploring AI-assisted phishing, deepfake attacks, and deception tactics

·       Post-Exploitation and Privilege Escalation with AI: Enhancing persistence and lateral movement techniques

·       Automating Penetration Testing Reports: Utilizing AI for streamlined documentation and risk analysis 

Contents:

1. Foundations of Pentesting: Methodologies, Frameworks, and AI Integration

2. Building a Modern Penetration Testing Lab with Generative AI

3. GenAI-Driven Reconnaissance for Effective Penetration Testing

4. GenAI-Enhanced Scanning and Sniffing

5. Vulnerability Assessment: Tools, Techniques, and GenAI Integration

6. AI-Driven Social Engineering and Penetration Testing

7. GenAI-Driven Exploitation Testing Techniques

8. Post-Exploitation Techniques and AI-Driven Privilege Escalation

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