Field-Level Permission Checks in Text-to-SQL Systems

Recently, many teams have been working on Text-to-SQL, ChatBI, or data analysis agents. One often underestimated issue is that generating SQL is only the first step—deterministic semantic, permission, and audit checks must also be conducted before deployment.

This article focuses on the issue of field-level permissions in Text-to-SQL: why table-level permissions are insufficient, and why checks are needed for sensitive fields, derived fields, filtering, and aggregation.

Core Points:

Table-level permissions are often too coarse for AI-generated SQL.
Sensitive fields can appear in projections, filters, joins, aggregations, and derived results.
Catalog-aware binding and lineage can help enforce field-level policy decisions.
Original Link: https://www.dpriver.com/blog/field-level-permission-checks-for-text-to-sql-systems/?utm_source=dev&utm_medium=community&utm_campaign=ai_sql_governance_external_2026q2&utm_content=shenhuan_dev_field_level_permission_checks_for_text_to_sql_systems