Glossary · AI & ML

Query Validation

Query validation is the process of checking an AI-generated SQL query for correctness and safety–verifying it references real tables and columns, parses cleanly, and stays within allowed operations–before it runs.

Language models occasionally produce SQL that references tables that do not exist, mixes up column names, or attempts operations it should not. Query validation catches these failures before execution: the query is checked against the live schema, parsed for syntax errors, and screened so that only permitted statement types (typically read-only SELECTs) ever reach the database. This matters because the cost of a bad query is asymmetric–at best a confusing error, at worst a wrong number that drives a wrong decision. Validation is the main defense that makes AI-generated SQL trustworthy in production.

In practice

How AI for Database applies it

AI for Database validates every generated query against your actual schema before execution and runs read-only by default, so a bad query cannot touch your data.
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