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: a risk explanation for managers and architecture leaders: there must be a validation layer between LLMs and production databases. Key points: Allowing LLMs to execute SQL directly brings security, permission, cost, and audit risks. Prompts are not enforcement mechanisms. A deterministic SQL validation layer can transform generative SQL into a controllable process. Original link: dpriver.com/blog/why-enterprises-should-not-let-l…
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