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.
Before a Text-to-SQL system reaches production, teams should validate more than SQL syntax. This checklist covers 10 risks: unsafe statements, hallucinated fields, PII exposure, permission bypass, high-cost queries, wrong joins, audit gaps, and more.
Enterprises should not let LLMs execute SQL directly because generated queries need deterministic validation, permission checks, risk scoring, and audit before reaching a database.
An LLM SQL Guard checks AI-generated SQL before execution and returns structured feedback that helps an LLM produce safer, more accurate queries.
