From Prompt to Database: Building Secure Text-to-SQL Solutions with AST and Hugging Face

Short summary

Text-to-SQL systems face prompt injection risks where malicious inputs trick AI models into generating destructive SQL (DROP, DELETE). Using Abstract Syntax Tree (AST) parsing via sqlglot ensures AI-generated queries are structurally read-only before execution. The post includes working Python code, integration patterns with Hugging Face and Streamlit, and real examples of safe vs. malicious queries.

• •Prompt injection attacks can trick Text-to-SQL models into generating destructive SQL commands
• •AST validation ensures AI-generated queries are structurally read-only (SELECT only)
• •Working code example with sqlglot integrates with Hugging Face models and Streamlit frontend

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