Solving Healthcare's AI Paradox: Compliant Agentic RAG in Regulated Environments

Healthcare organizations face a paradox: clinical operations demand flexible, intelligent AI systems, yet regulatory requirements mandate rigid governance controls. Traditional RAG architectures fail in this environment, creating critical risks from prompt injection and accidental data leakage that could harm patient safety or compliance. This analysis reveals how to deploy production-grade agentic RAG systems that satisfy both demands—enabling intelligent context while maintaining strict governance controls.