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DreamGuard achieves a groundbreaking safety-utility balance by predicting long-term risks, outperforming traditional guardrails that only react to immediate threats.
LLMs, when orchestrated as collaborative agents, can dramatically improve vulnerability-inducing commit identification, outperforming existing SZZ algorithms by a large margin.
