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: dpriver.com/blog/text-to-sql-security-10-risks-be…