Secure AI in Production

Secure AI in Production presents a practical, opinionated framework for governing and securing enterprise AI systems as they move from experimentation into live, regulated environments. It argues that traditional security controls are insufficient and introduces an operating model built around clear ownership, risk tiering, behavioral assurance, and continuous monitoring of AI systems—especially agentic and retrieval‑based AI. This Whitepaper provides a reference architecture, governance structure, control set and implementation roadmap to help organizations make AI observable, accountable and defensible at scale.