• Contact

  • Newsletter

  • About us

  • Delivery options

  • Prospero Book Market Podcast

  • Traditional vs Generative AI Pentesting: A Hands-On Approach to Hacking

    Traditional vs Generative AI Pentesting by Maleh, Yassine;

    A Hands-On Approach to Hacking

      • GET 10% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice GBP 110.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        54 285 Ft (51 700 Ft + 5% VAT)
      • Discount 10% (cc. 5 429 Ft off)
      • Discounted price 48 857 Ft (46 530 Ft + 5% VAT)

    54 285 Ft

    db

    Availability

    Not yet published.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 1
    • Publisher CRC Press
    • Date of Publication 26 September 2025

    • ISBN 9781041070450
    • Binding Hardback
    • No. of pages316 pages
    • Size 254x178 mm
    • Language English
    • Illustrations 314 Illustrations, black & white; 299 Halftones, black & white; 15 Line drawings, black & white; 11 Tables, black & white
    • 700

    Categories

    Short description:

    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.

    More

    Long description:

    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

    This book is an essential resource for ethical hackers, cybersecurity professionals, and academics seeking to explore the transformative role of Generative AI in penetration testing. It provides practical guidance, in-depth analysis, and cutting-edge techniques for mastering AI-driven offensive security.

    More

    Table of Contents:

    Preface About the Author Chapter 1: Foundations of Pentesting: Methodologies, Frameworks, and AI Integration Chapter 2: Building a Modern Penetration Testing Lab with Generative AI Chapter 3: GenAI-Driven Reconnaissance for Effective Penetration Testing Chapter 4: GenAI-Enhanced Scanning and Sniffing Chapter 5: Vulnerability Assessment: Tools, Techniques, and GenAI Integration Chapter 6: AI-Driven Social Engineering and Penetration Testing Chapter 7: GenAI Driven Exploitation Testing Techniques Chapter 8: Post-Exploitation Techniques and AI-Driven Privilege Escalation Chapter 9: GenAI for Automating and Enhancing Penetration Testing Reports

    More