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.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für Beruf und Forschung
Professional Practice & Development, Professional Reference, and Professional Training
Produkt-Hinweis
Fadenheftung
Gewebe-Einband
Illustrationen
314 s/w Abbildungen, 299 s/w Photographien bzw. Rasterbilder, 15 s/w Zeichnungen, 11 s/w Tabellen
11 Tables, black and white; 15 Line drawings, black and white; 299 Halftones, black and white; 314 Illustrations, black and white
Maße
Höhe: 254 mm
Breite: 178 mm
Dicke: 19 mm
Gewicht
ISBN-13
978-1-041-07045-0 (9781041070450)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Yassine Maleh is an Associate professor of cybersecurity at Sultan Moulay Slimane University, Morocco, since 2019. He is a double PhD in Cybersecurity and IT Management. He is the founding chair of IEEE Consultant Network Morocco and founding president of the African Research Center of Information Technology & Cybersecurity. He is a former CISO at the National Port Agency between 2012-2019. He is a senior member of IEEE and a member of the International Association of Engineers IAENG and The Machine Intelligence Research Labs. Dr Maleh has made contributions in the fields of information security and privacy, Internet of things security, wireless and constrained networks security. His research interests include information security and privacy, Internet of things, networks security, information system, and IT governance. He has published over than 250 papers (international journals, book chapters and conferences/workshops), 40 edited books, and 6 authored books. He is the editor-in-chief of the International Journal of Information Security and Privacy (IJISP, IF: 0.8), and the International Journal of Smart Security Technologies (IJSST). He serves as an associate editor for IEEE Access, since 2019 (Impact Factor 4.098), the International Journal of Digital Crime and Forensics (IJDCF), and the International Journal of Information Security and Privacy (IJISP). He is a series editor of Advances in Cybersecurity Management, by CRC Taylor & Francis. He was also a guest editor for many special issues with prestigious journals (IEEE transactions on industrial informatics, IEEE Engineering Management Review, Sensors, Big Data Journal). He has served and continues to serve on executive and technical program committees and as a reviewer of numerous international conferences and journals such as Elsevier Ad Hoc Networks, IEEE Network Magazine, IEEE Sensor Journal, ICT Express, and Springer Cluster Computing. He was the General chair and publication chair of many international conferences (BCCA 2019, MLBDACP 19, ICI2C'21, ICACNGC 2022, CCSET'22, IEEE ISC2 2022, ISGTA'24, etc...). He received Publons Top 1% reviewer award for the years 2018 and 2019. He holds numerous certifications demonstrating his knowledge and expertise in the field of cybersecurity from major organisations such as ISC2, Fortinet, CEH, Cisco, IBM, Microsoft, CompTIA and others.
Autor*in
National School of Applied Sciences
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
