OSINT and LLMs: Open-Source Intelligence with Generative AI

In an era of overwhelming digital data, traditional open-source intelligence (OSINT) methods can be slow and manual. Integrating large language models (LLMs) into your workflow allows you to parse, analyze, and synthesize vast amounts of public information with unprecedented speed. This text-based course teaches you how to combine foundational OSINT methodologies with modern AI tools to streamline your security research and data collection. You will transition from manual searching to executing sophisticated, AI-assisted intelligence gathering workflows safely and ethically. What you'll learn: Understand foundational OSINT concepts, terminology, and the ethical boundaries of public data collection; Apply modern prompt engineering techniques to filter, summarize, and extract key insights from unstructured text; Analyze public records, social data, and technical infrastructure information using generative AI; Identify security risks, footprinting vectors, and threat intelligence patterns through guided written exercises; Formulate structured queries and automated workflows to scale your information-gathering processes. You will begin by mastering core intelligence definitions and operational security (OPSEC) basics. From there, you will progress to practical text-based modules demonstrating how to write effective prompts, analyze complex datasets, and generate structured intelligence reports. This course is designed for beginners in cybersecurity, research, or data analysis, requiring no prior experience with intelligence gathering or programming. Start reading today to elevate your research capabilities with the power of generative AI.