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.
In Depth
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.
How AI for Database Helps
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.
Related Terms
SQL Hallucination
SQL hallucination is when an AI model generates a query that looks correct but references tables or columns that do not exist, or encodes logic that does not match the question asked.
SQL Generation
SQL generation is the automatic creation of SQL queries by software—typically an AI model—from a user's intent expressed in natural language.
Read-Only Mode
Read-only mode is a safety configuration in which a tool or database connection can run SELECT queries to read data but is blocked from any operation that modifies it—no INSERT, UPDATE, DELETE, or schema changes.
AI Guardrails
AI guardrails are the technical constraints placed around an AI system that limit what it can do regardless of what it is asked—in database tools, controls like read-only execution, query validation, schema-only context, and operation allowlists.
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