In Enterprise GenAI, the real question isn't "how smart is the model?" but "how much can I trust the output?"
Quick summary: A trust standard is established through attribution, governed access (RBAC), rigorous evaluation (LLM eval), deep observability, and human-in-the-loop (HITL) workflows.
7 Components of the Trust Standard
Data Boundaries, Access/RBAC, Attribution, Continuous Evaluation, Guardrails, Observability, and HITL.