Words Become SQL: Securing AI Assistants That Talk to Databases

Summary

This article examines prompt-to-SQL injection, where crafted prompts cause AI assistants to generate harmful database queries. It reports demonstrations of the vulnerability in real systems.

Mitigation

Defenses presented include query filtering, query rewriting, data preloading, and large-language-model-based guards.

Related items

• LowHelp defend against memory poisoning in Amazon Bedrock AgentCore with multi-layer write validationSimilar attack · AWS Security Blog
• InfoCan the Confidence and Decisions of System 1 Models Be Trusted? An Explainability and Perturbation Audit of Jev-Style Decision ModelsSimilar attack · Arxiv (cs.CR + cs.CL + cs.LG)
• InfoHarness Matters: Measuring and Dissecting Security Resilience in Web AgentsSimilar attack · Arxiv (cs.CR + cs.CL + cs.LG)
• MediumTop MCP security resources — November 2026Similar attack · Adversa AI Blog
• InfoScaling Adaptive Prompt Injection Attacks with Agent SwarmsSimilar attack · Arxiv (cs.CR + cs.CL + cs.LG)