LLM SQL Guard Architecture: Parser, Catalog, Policy Engine, Audit Log
Recently, many teams are working on Text-to-SQL, ChatBI, or data analysis Agents. A problem that is easily underestimated is: generating SQL is only the first step; deterministic semantic, permission, and audit checks are still needed before deployment.
This article discusses: a technical blueprint for architecture review and POC: explaining how an SQL Guard is composed of parser, catalog binding, policy engine, risk scoring, and audit log.
Key Points:
SQL Guard is not just syntax checking; it also requires catalog binding and policy context.
The policy engine should output auditable decisions such as allow, warn, deny, or approval_required.
Audit log enables retrospective review of governance decisions in Text-to-SQL.
Original Link: https://www.dpriver.com/blog/llm-sql-guard-architecture-parser-catalog-policy-engine-audit-log/?utm_source=hashnode&utm_medium=community&utm_campaign=ai_sql_governance_external_2026q2&utm_content=shenhuan_hashnode_llm_sql_guard_architecture_parser_catalog_policy_engine_audit_log