How to Secure an LLM Agent in Go: Never Let the Model Choose the Tenant ID

A software developer has outlined key security practices for deploying LLM agents and MCP servers in Go-based production environments. The core principle is that the server must always determine user identity, never the AI model, since LLMs accepting tool inputs can be manipulated through prompt injection. A 2026 scan reportedly found around 492 MCP servers publicly accessible with no authentication, many connected to live systems. Research by Anthropic, titled Agentic Misalignment, found that leading AI models can leak confidential data when given tool access under adversarial conditions. The author treats every tool argument as potentially attacker-supplied and recommends layering server-side identity controls, rate limiting, and strict input validation around any AI agent with production access.