Presentation title:
A Practical Case of LLM-enhanced OSINT
Presentation description:
The use of Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) is revolutionising the qualitative analysis of large datasets in the fight against cybercrime. A case study is presented that uses an analysis of publicly available Telegram data to shed light on the interplay of cybercrime, scams, and human trafficking in Southeast Asia. RAG combines information retrieval systems with generative models to provide relevant and context-specific responses. This enables analysts to effectively identify cybercrime by searching through large datasets and creating precise summaries.
