The 5-Minute Guide to Runtime Security for LangChain Agents

The 5-Minute Guide to Runtime Security for LangChain Agents LangChain makes it easy to build powerful AI agents. It does not make it easy to secure them. This guide shows you how to add runtime security to any LangChain agent in under 5 minutes — enforcing policies before execution and logging every decision with a tamper-evident audit trail. Why LangChain Agents Need Runtime Security LangChain gives your agent access to tools. Tools have consequences — they call APIs, write to databases, send emails, process payments. The agent decides when and how to use those tools based on what the LLM outputs. That output is probabilistic. It can be manipulated (prompt injection). It can drift (long conversations). It can misinterpret your instructions. You need a layer that evaluates every tool call before execution — deterministically, not probabilistically. Quick Setup Install pip install agentguard-tech langchain langchain-openai Get your API key # Free tier — 10,000 evaluations/month # Get yo