Recently, many teams are working on Text-to-SQL, ChatBI, or data analysis Agents. One underestimated issue is that SQL generated by LLMs should not directly enter production databases.
This article discusses: for teams currently launching Text-to-SQL, ChatBI, or database Agents, here are 10 categories of risks that must be checked before going live.
Key points:
Text-to-SQL security is not just about SQL injection.
It also requires checking permissions, sensitive fields, high-cost queries, semantic errors, and auditing.
This article serves as a pre-launch readiness checklist.
Original link: https://www.dpriver.com/blog/text-to-sql-security-10-risks-before-production-deployment/?utm_source=dev&utm_medium=community&utm_campaign=ai_sql_governance_external_2026q2&utm_content=shenhuan_dev_text_to_sql_security_10_risks_before_production_deployment
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10 Security Risks of Text-to-SQL Before Going to Production
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