The article discusses securing AI agents, MCP servers, and LLM applications by addressing emergent risks from model behavior, system prompts, and tool interactions, which traditional CVEs do not cover. It emphasizes that agent failures stem from data-driven prompt injection and contextual vulnerabilities rather than code flaws. Mend.io's guide provides a framework for mitigating these unique security challenges in production environments. → View original source