AI Agent Security - Lock Down Claude Code, MCP Servers & OpenClaw

This practical guide offers a clear, step-by-step approach to hardening AI agents through architecture and technical safeguards, rather than theoretical policies. Covering topics from threat modeling and permission scoping to sandboxing and untrusted input management, it provides actionable configurations, case studies, and a checklist to secure AI agents effectively. Designed for deployment within days, this manual aims to help developers quickly create a robust security framework for their AI systems.