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A team wants to automate the evaluation of frontier open-source models for alignment and safety, quantifying operational risk against emerging standards. Which combination of tooling and benchmark aligns with this goal?

A Deploy AI judges in MLflow and benchmark against HarmBench
B Deploy vLLM runtime and benchmark against HarmBench
C Deploy AI judges in Lakeflow and benchmark against Delta UniForm
D Deploy custom BERT models and benchmark against Iceberg

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