In this blog post, we introduce the concept of LLM-as-a-Judge, a novel approach where one large language model (LLM) is used to evaluate, enforce, and secure the behavior of another LLM. The article explains how this architecture works as a “guardian agent” that semantically interprets prompts and outputs to detect threats such as prompt injections, semantic leaks, and policy violations, risks that traditional tools like DLP and DSPM miss. It also discusses the major implementation challenges (such as latency, accuracy, cost, scalability, and policy drift) that arise when deploying LLM judges in real-world production environments. Importantly, the post breaks down a typical LLM-as-a-Judge architecture and details how Lasso Security’s implementation overcomes these hurdles.