Words Become SQL: Securing AI Assistants That Talk to Databases
Summary
The article demonstrates how attackers can use crafted prompts to trick AI assistants into running harmful database queries through prompt-to-SQL injection attacks (where malicious instructions hidden in user input cause an AI to generate dangerous database commands). It identifies vulnerabilities in real systems and describes practical defenses including query filtering, rewriting, data preloading, and using another AI model as a security guard.
Solution / Mitigation
The source mentions four explicit defenses: query filtering, query rewriting, data preloading, and large-language-model-based guards (using another AI model to validate or block dangerous queries).
Classification
Related Issues
Original source: http://ieeexplore.ieee.org/document/11359973
First tracked: May 14, 2026 at 08:01 PM
Classified by LLM (prompt v3) · confidence: 92%