This blog post explores the use of local large language models (LLMs) for cybersecurity, detailing how to effectively deploy these models while ensuring they operate within secure boundaries. It discusses the selection of models based on hardware capacity, presents various practical applications for LLMs in cybersecurity including alert triage and detection engineering, and emphasizes the importance of evaluating model performance against defined security tasks. The article provides insights into maintaining operational security while leveraging AI capabilities in cybersecurity contexts.