This post discusses how Foundry implements an evidence gate to validate the hunches produced by Large Language Models (LLMs), enhancing the reliability of AI-driven insights in the software development context. It is part of a series focused on security applications in AI technology, specifically testing the system with Langflow, MLflow, and PyGoat.