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Could the AI system generate or execute unsafe SQL queries from user input?
Could the AI system generate or execute unsafe SQL queries from user input?
- LLMs integrated with backend systems may generate SQL queries based on user input, exposing the system to SQL injection attacks. If input prompts are not properly validated or sanitized, attackers may inject malicious SQL fragments into natural language inputs, which the LLM translates into executable queries.
- These vulnerabilities are often underestimated due to misplaced trust in the AI’s output or assumptions that the AI understands secure coding practices. In reality, models may generate insecure or dangerous SQL if prompted accordingly.
- This risk is particularly severe in domains like finance or healthcare, where AI-generated queries could expose sensitive records or enable privilege escalation.
If you answered Yes then you are at risk
If you are not sure, then you might be at risk too
Recommendations
- Never execute AI-generated SQL directly. Use intermediate layers that validate and parameterize AI-generated queries.
- Sanitize all user inputs before allowing them to reach the LLM.
- Apply query allow-lists, parameterized queries, and database permissions to constrain what LLMs can do.
- Use static and dynamic code analysis on AI-generated queries before execution.
- Educate developers and product teams about the unique risks of LLM-driven SQL generation.