We implement faithfulness scoring using NLI (natural language inference) models to check whether each factual claim in the response is entailed by the retrieved context. For generative tasks without retrieval, we use reference-based evaluation against golden answers and LLM-as-judge scoring. High-confidence hallucination detections trigger alerts; borderline cases are queued for human review.