Open Source Intelligence (OSINT) – A practical Introduction

This practical introduction to open-source intelligence (OSINT) covers its applications, techniques, and legal considerations, providing valuable insights for researchers and decision-makers alike.

This practical book introduces open-source intelligence (OSINT) and explores its execution across various intelligence scenarios. It covers a range of supporting topics, including online tracking techniques, privacy best practices for OSINT researchers, and practical examples of OSINT investigations. Each chapter is designed to provide readers with actionable insights and methods that can be applied in real-world situations.

In Open Source Intelligence (OSINT) – A Practical Introduction, the author delves into the integration of artificial intelligence (AI) and machine learning (ML) within the realm of OSINT. Social media intelligence methodologies are examined, alongside the unique characteristics of the surface web, deep web, and dark web. Through these discussions, readers gain a comprehensive understanding of how to navigate and utilize these diverse online environments effectively.

The book also addresses the dark web's uses and potential risks, offering an introduction to digital forensics and its methods for recovering and analyzing digital evidence. It highlights the crucial role of OSINT in digital forensics investigations while concluding with a discussion on the legal considerations surrounding the use of the information and techniques presented. Overall, this book equips readers with a thorough understanding of OSINT, enabling them to support decision-makers in today's complex IT threat landscape.