This session will explore secure architectures for deploying large language models in federal environments, comparing cloud-based and on-premise solutions to meet FISMA standards. We demonstrate the risks of fine-tuning, the advantages of retrieval-augmented generation (RAG), and how multi-agent workflows can enhance security and compliance through real-world examples from federal projects.