LLM security guide targets exposed MCP servers

The AI community's rush to deploy agentic workflows is creating massive security blind spots that this guide attempts to patch. The discovery of nearly 500 unauthenticated, publicly exposed MCP servers demonstrates a severe lack of basic security hygiene in modern AI deployments. Covering critical vulnerabilities like RCEs in mcp-remote and Claude Code, the guide bridges the gap between theoretical AI safety and practical cybersecurity. By aligning with the OWASP Top 10 for LLMs and Agentic systems, it offers a standardized, practitioner-first checklist for developers building autonomous tools.