Analysis of open-source AI execution engines like OpenClaw reveals that prompt injection, when agents have tool access (shell, DB, web), poses a critical security threat, enabling data exfiltration, prompt leaking, and full agent hijacking. Current static defenses like Regex blacklists are largely ineffective against semantic variations, highlighting a significant vulnerability in how most AI frameworks handle agent security. OpenClaw's 3-layer defense was specifically analyzed.