A new hook-based guardrail system prevents AI agents from executing unauthorized tool calls. By validating inputs before they reach the LLM, developers stop prompt injection attacks in real-time. This architecture separates execution from intent. It provides a concrete security layer for practitioners deploying autonomous agents in production environments without sacrificing operational speed.