From Prototype to Production: The Architecture Behind Secure & Governed AI Agents

Moving AI agents from prototype to production requires a robust architecture focused on security and governance. This involves a "Defense in Depth" approach with deterministic safety rails around the non-deterministic LLM, rather than relying on the model to govern itself. Key components include pre-filters for blocking prompt injections, policy engines for risk classification, and access control lists enforced at the vector database level. Further security is added through integrity checks on retrieved data and a Human-in-the-Loop (HITL) queue that requires explicit human approval for high-risk actions.