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Frontier AI agents can autonomously conduct clinical security audits, but not all models perform equally, revealing significant efficiency gaps.
LLM-based judges can detect rogue agent behaviors 2.3x earlier than static analyzers, a difference completely masked by standard accuracy metrics.
