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.

• 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