Large Language Models (LLMs) can produce impressive text responses, but they’re not immune to generating harmful or disallowed content. If you’re developing an LLM-powered application, you need a reliable way to detect and block risky outputs. Disallowed content – hate speech, explicit descriptions, harmful instructions – can damage your product’s reputation, endanger user safety, and potentially violate legal or platform guidelines.