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Text-to-SQL LLM risks: Data leaks and cost overruns

By PulseAugur Editorial · [1 sources] ·

The notion that Text-to-SQL is a solved problem is a dangerous myth, as LLMs can generate non-deterministic SQL queries that pose risks to sensitive data. Approaches like feeding the entire schema to the LLM or using semantic proxy layers can lead to issues such as data corruption or context window limitations. A more robust solution involves a "Hard-Gated SQL Sandbox" that uses an Abstract Syntax Tree (AST) validator to check generated SQL for unauthorized access or joins before execution, alongside resource governance at the database level to prevent excessive compute costs. AI

IMPACT Highlights critical security and cost management considerations for deploying LLM-powered data access tools in production environments.

RANK_REASON The article discusses potential risks and architectural patterns for using LLMs in Text-to-SQL scenarios, offering an opinionated perspective rather than announcing a new product or research finding.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Text-to-SQL LLM risks: Data leaks and cost overruns

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0 / 100
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Commentary
The article discusses potential risks and architectural patterns for using LLMs in Text-to-SQL scenarios, offering an opinionated perspective rather than announcing a new product or research finding.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, infra
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High
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103 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Aniket Abhishek Soni ·

    Text-to-SQL is a solved problem: why you’re about to leak your PII

    <p>The most dangerous myth in modern data engineering is that "Text-to-SQL is a solved problem." Every time I see a demo where someone asks an LLM to "sum the revenue by region" and it returns a clean JSON blob, I see a production outage waiting to happen. You aren't building a c…

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