An ML platform engineer is evaluating whether to use a large proprietary LLM API (e.g., GPT-4) or a smaller open-weights model (e.g., Mistral 7B) for an internal security alert summarization system. From a purely security-architecture perspective, what is the primary advantage of the open-weights model?

• A.Open-weights models do not hallucinate, unlike proprietary API models
• B.Open-weights models are always more accurate for security tasks than proprietary models
• C.The open-weights model can be deployed entirely on-premises or in a private cloud, preventing sensitive alert data (which may contain internal IP addresses, system names, and attack details) from being sent to a third-party API endpoint where it could be logged, retained, or breached
• D.Open-weights models are cheaper to operate than proprietary API models in all cases