The AI transition from experimental chatbots to agents faces a critical hurdle in highly-regulated sectors like biomedicine and public health. While these autonomous systems can navigate complex data to perform real-world tasks, there is a clear lack of a security-focused, standardized, and observable framework for AI agents to interact with sensitive data. Without enterprise-grade guardrails, the potential of agentic workflows remains confined to the lab sandbox.To address this challenge, Red Hat has launched a joint research effort with the Centers for Disease Control and Prevention (CDC) a