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Elsevier

Next-Generation VAPT

Combining OSINT and AI-ML for Enhanced Vulnerability Assessment and Penetration Testing

  • 1st Edition - August 1, 2026
  • Latest edition
  • Editors: Ravi Sheth, Sailesh Iyer, Yassine Maleh, Naresh Kshetri, Chandresh Parekha
  • Language: English

Next-Generation VAPT: Combining OSINT and AI/ML for Enhanced Vulnerability Assessment and Penetration Testing empowers information security threat intelligence with the fusion… Read more

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Description

Next-Generation VAPT: Combining OSINT and AI/ML for Enhanced Vulnerability Assessment and Penetration Testing empowers information security threat intelligence with the fusion of Open-Source Intelligence Tools (OSINT) and Artificial Intelligence and Machine Learning (AI/ML) to identify and detect vulnerabilities more efficiently and effectively. The book highlights the concept of OSINT for gathering actionable threat intelligence and AI/ML for automating threat detection, which ultimately enhances VAPT processes. The authors explain concepts for assessing the security of networks, wireless networks, performing VAPT on mobile devices, and conducting red teaming, which helps end users deal with upcoming threats at an early stage.

It focuses on using machine intelligence for developing and validating exploits and AI-driven exploitation testing, which helps field experts discover and exploit vulnerabilities more quickly and accurately. Readers will find essential ethical and legal considerations in AI/ML and OSINT-based VAPT, ensuring responsible and compliant testing practices, accountability, and transparency. Industry Case Studies with solutions and safeguards are an integral part of the books applied approach.

Key features

  • Provides step-by-step guides for implementing AI/ML and OSINT into the VAPT process, including comprehensive guidance for the selection, configuration, and execution of tools for application of these technologies
  • Helps readers with the most up-to-date methods and approaches that seamlessly blend AI/ML and OSINT to supplement traditional VAPT, enabling readers to remain ahead of new threats as they begin to implement more forward-thinking and intelligent methodologies
  • Provides readers with an in-depth view on how AI/ML can automate and improve vulnerability assessments and penetration testing, including practical examples for enhancing these technologies within existent security practices
  • Presents advanced techniques and methodologies for complex environments such as exploit development and validation, wireless network VAPT, web VAPT, threat intelligence, incident response, and Mobile app VAPT with the fusion AI-ML and OSINT
  • Reveals how OSINT along with AI/ML have contributed to improving the practice of red teaming, emphasizing the importance of conducting adversarial tests to facilitate response against complex attacks at an early stage

Readership

Information security professionals, cybercrime and digital forensic investigators, cyber response and remediation teams, forensic analysts, software developers, e-discovery researchers, security managers, Computer Science analysts, consultants, and researchers in academia and industry. The primary audience also includes AI and Machine Learning Engineers in Security and Security Tool Developers in the field of AI and VAPT, applying these techniques to enhance malware detection and predict cyber threats

Table of contents

1. Introduction to Next-Gen VAPT

2. Fundamentals of OSINT for VAPT

3. AI-ML concepts and methodology for VAPT

4. Integrating OSINT with VAPT: A new paradigm

5. AI-ML powered vulnerability scanning and management

6. Machine learning for predictive vulnerability assessment

7. OSINT based Threat Intelligence for VAPT

8. Advanced penetration testing with AI-ML driven tools

9. AI-ML assisted exploit development and validation

10. OSINT-Based social engineering attacks

11. AI-ML and OSINT based Web Application Scanning and Testing

12. Next generation network scanning with AI-ML and OSINT

13. AI-ML and OSINT based Wireless Network Security Assessment

14. Mobile VAPT using AI-ML and OSINT

15. AI-ML driven Incident Response and Threat Hunting

16. OSINT and AI-ML for red teaming and adversarial testing

17. Ethics and Legal Considerations in AI-ML and OSINT based VAPT

18. Future of VAPT: Emerging Trends and Innovations

Product details

  • Edition: 1
  • Latest edition
  • Published: August 1, 2026
  • Language: English

About the editors

RS

Ravi Sheth

Dr Ravi Sheth: Dr. Sheth is having more than 15 years of teaching experience. His keen area of interest is in multimedia security, machine learning, pattern recognition, VAPT and Cyber Forensics. He has a conflate of combined experience in teaching, research and training. Dr. Sheth had organized several high-quality training and extension programs for the law professional, teachers and students from across the India. He has published more than 50 research articles in international refereed journal in the area of cyber security, cyber forensics and artificial intelligence. He has been a part of various conferences as a member of the technical committee and reviewer. Dr. Sheth had presented many research papers in the International and National Conferences and Seminars. He had been invited as a resource person in many workshops/seminars/training programs. He had also delivered many expert talks on various aspects of Multimedia Security, Social Media Investigation, Cyber Forensics, Pattern Recognition and Darknet Investigation for the law professional, teachers and students from across the India. He has filed a pattern for a “Portable mobile forensic data acquisition tool”. He is providing research guidance to the students of Rashtriya Raksha University in the area of Cyber Security, Cyber Forensics, Machine learning and pattern recognition.

Affiliations and expertise
Rashtriya Raksha University, Gujarat, India

SI

Sailesh Iyer

Dr. Sailesh Iyer has a Ph.D. (Computer Science), pursuing Post Doc from University of Louisiana, Lafayette, USA, and currently serving as a Professor with Rai University, Ahmedabad. He has more than 23 years of experience in academics, industry and corporate training. He has been awarded a Research Excellence Award for 2021 by Rai University and an Honorary Adjunct Research Scientist at Neurolabs International under Dana Brain Health Institute, Iran, from August 2022 to August 2025. He is an editor for book projects with various international publishers. He has been invited as keynote speaker in various international conferences. He has excelled in corporate training, delivered more than 100 expert talks in various AICTE sponsored STTP’s, ATAL FDP’s, reputed universities, government organized workshops, orientations and refresher courses. His research interest areas include computer vision and image processing, cybersecurity, data mining and analytics, artificial intelligence, machine learning, and blockchain.

Affiliations and expertise
Professor and Dean, CSE/IT Department, Rai School of Engineering, Rai University, Ahmedabad, Gujarat, India

YM

Yassine Maleh

Prof. Yassine Maleh is a cybersecurity professor and practitioner with industry and academic experience. He is a Ph.D. degree in Computer Sciences. Since 2019, He working as a professor of cybersecurity at Sultan Moulay Slimane University, Morocco. He worked for the National Port agency (ANP) in Morocco as a Senior Security Analyst from 2012 to 2019. He is a senior member of IEEE, a member of the International Association of Engineers and the Machine Intelligence Research Labs. Dr. Maleh has made contributions in information security and privacy, Internet of Things security, and wireless and constrained network security. His research interests include information security and privacy, Internet of Things, networks security, information system and IT governance. He has published over 60 papers (book chapters, international journals, conferences/workshops), 10 edited books, and 3 authored books. He is the editor-in-chief of the International Journal of Smart Security Technologies. He serves as an associate editor for IEEE Access (2019 Impact Factor 4.098), the International Journal of Digital Crime and Forensics, and the International Journal of Information Security and Privacy. He was also a guest editor of a special issue on 'Recent Advances on Cyber Security and Privacy for Cloud-of-Things' of the International Journal of Digital Crime and Forensics, Volume 10, Issue 3, July-September 2019.
Affiliations and expertise
Professor, University Sultan Moulay Slima, Beni-Mellal, Morocco

NK

Naresh Kshetri

Dr Naresh Kshetri: Dr. Naresh Kshetri is currently a full-time Faculty (Cybersecurity) at College of Computing, Rochester Institute of Technology. He was an Assistant Professor (tenure-track) of Cybersecurity / CS at the Emporia State University apart from Research Fellow at Cybersecurity and Research Outreach Center. He was an Assistant Professor of Cybersecurity and Adjunct Instructor of Computer Science at Lindenwood University. Dr. Kshetri completed his PhD (Computer Science with concentration in Cybersecurity) from University of Missouri – St. Louis, graduated with an MS (Cybersecurity) from Webster University, and also earned an MCA (Computer Applications) degree from University of Allahabad. With more than ten years of experience and research interests in Cybersecurity, Blockchain technology, he has published in various journals, conferences, and book chapters. His research is funded by the University of Missouri – St. Louis, the Lindenwood University, and the Emporia State University. Dr. Naresh has taught various Cybersecurity and CS courses at both the undergraduate and graduate levels.

Affiliations and expertise
Golisano College of Computing & Information Sciences (GCCIS), Rochester Institute of Technology (RIT), Rochester NY, USA

CP

Chandresh Parekha

Dr Chandresh Parekha: He is an academician for more than 21 years. He completed B.E. (Electronics) in 1994 from BVM Engineering College, Vallabh Vidhyanagar and M.E. in Electronics Communication Systems from DDIT, Nadiad in 2009. He completed Ph.D. in Electronics and Communication Engineering from Gujarat Technological University, Ahmedabad in 2020. He started his professional career as an R & D Engineer at Crown Television Limited, Gandhinagar. He also worked as an R & D Engineer at Videocon International Limited, Gandhinagar. He started teaching in the year 2002 in the Electronics and Communication Department. He worked as an Assistant Professor in Electronics and Communication Department of Sankalchand Patel College of Engineering, Visnagar from 24th July, 2002 to 24th October, 2011. He has been working as an Assistant Professor – Telecommunication (Senior Grade) with Rashtriya Raksha University, Lavad since 25 th October 2011. He has been actively involved in academics by publishing more than 50 research papers in reputed journals/conferences, doing various funded research projects, delivering expert talks and organizing technical events. He got Geospatial Excellence Award for the research project “GIS based Crime Mapping of Ahmedabad City” in 2014.
Affiliations and expertise
Rashtriya Raksha University, Gujarat, India