Defense and intelligence agencies are expanding AI use while tightening secrecy controls, boosting demand for infrastructure vendors that can enable secure deployments without exposing confidential data. The article describes how a 2024 arrangement with Palantir and AWS supported Claude access on Defense Department classified networks, while the Pentagon faced public friction with Anthropic after concerns about surveillance and autonomous weapons. Smaller “pick-and-shovel” firms are positioning offerings around secure data handling, training boundaries, and access controls, reflecting a compliance-first approach to LLM deployment. For colleges with defense research partnerships or cybersecurity labs, the trend underscores rising expectations for data governance, auditability, and model isolation when AI touches sensitive datasets.