A Secure Architecture for AI-Powered Natural Language Analytics Over Enterprise Data Warehouses

Natural language access to enterprise data warehouses introduces a new execution surface that must be governed with the same rigor as any privileged system interface. AI agents should be treated as untrusted reasoning layers, with all query execution mediated through identity-bound tools and validation gateways. Secure deployment depends on separating probabilistic reasoning from deterministic enforcement, ensuring that governance resides in the execution layer—not in prompt instructions.