Table-level permissions are not enough for Text-to-SQL. This guide explains how field-level permission checks detect sensitive columns and enforce policy before generated SQL reaches the database.
A practical framework for evaluating whether LLM-generated SQL is ready for production governance, covering parsing, catalog binding, sensitive fields, policies, lineage, and audit readiness.
Learn why LLM-generated SQL needs semantic validation: catalog binding, name resolution, type checks, joins, permissions, and repair feedback.
Prompt rules can improve LLM-generated SQL, but they cannot prove a query is safe, authorized, semantically valid, or auditable. Production Text-to-SQL needs deterministic SQL validation before execution.
