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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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.
- 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
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
- Edition: 1
- Latest edition
- Published: August 1, 2026
- Language: English
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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.
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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.
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Yassine Maleh
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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.
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