Summary:
- The article explores the practical application of local Large Language Models (LLMs) to enhance Cyber Threat Intelligence (CTI) workflows.
- It provides a comparative analysis of top-performing local models, highlighting their ability to process sensitive data securely without relying on external cloud APIs.
- The author discusses the technical requirements and benefits of running these models on-premises, specifically for tasks like parsing logs, summarizing reports, and extracting indicators of compromise (IOCs).