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Natural Language to SQL, Safely: Semantic Layers, Permissions and Checkable Answers
Letting users query data in plain English is a popular AI feature with serious failure modes: wrong but plausible numbers, data leakage, expensive or destructive queries, and inconsistent metric definitions. This guide covers the controls that make it safe: a semantic layer, user-scoped read-only access, validation and limits, transparent answers, clarification, sanity checks and evaluation.
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