Securing database access for AI agents — the specific problems QueryShield solves.
Read-only database users help, but they are not enough to protect a database from AI agents. Learn how AST-level SELECT-only validation blocks DELETE, DROP, UPDATE, and stacked statements before they reach your database.
Text-to-SQL security is more than escaping strings. Learn how AST validation, allow-listing, and per-agent guardrails stop SQL injection and prompt-injection attacks in LLM-generated SQL.
Database access control for LLM agents means scoping each agent to only the rows and tables it needs. Learn how per-agent row-level security and scoped API keys enforce least-privilege permissions for AI agents.
Anything an AI agent can read, it can leak. Learn how a secure SQL proxy keeps connection strings out of the agent process entirely, so a prompt injection or a leaked context window never exposes your database.
Read-only users and read replicas are a start, not an answer. Learn the layered pattern for safe database access for AI agents: a governed proxy, AST validation, per-agent row-level security, and a full audit trail.
A query firewall inspects and blocks unsafe database queries before they execute. Learn how a query firewall for AI differs from a network firewall or a prompt firewall, and what it must enforce on LLM-generated SQL.
A secure SQL proxy for AI agents: natural language in, SELECT-only validated SQL out, per-agent row-level security, and an append-only audit log. Your agents never see connection strings.