Securing Production Databases Against AI-Driven SQL Injection

A practical PostgreSQL security guide for DBAs, security engineers, and platform engineers working with AI, LLM, text-to-SQL, RAG, and autonomous-agent based applications. This PDF explains what really changes when LLMs enter the database access path, why parameterized queries still matter, and how to harden PostgreSQL using least-privilege roles, Row-Level Security, statement timeouts, audit logging, pg_stat_statements, query validation, and production-readiness checklists. Inside you will learn: AI-driven SQL injection threat models Classic SQL injection vs LLM-generated SQL risks Prompt injection and text-to-SQL attack surface PostgreSQL least-privilege role design Row-Level Security for tenant/user isolation LLM-facing database role hardening pgaudit and pg_stat_statements based detection Production readiness and security review checklist Hands-on PostgreSQL 16 lab exercise Best for production DBAs, DBREs, SREs, security engineers, and backend/platform teams building or protecting AI-integrated database applications.