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As organizations implement AI architecture, large language models form the central component, encircled by sophisticated distributed elements including model gateways, agent platforms, vector databases, tool interfaces, retrieval mechanisms, and policy controllers. These elements produce novel telemetry types that frequently cross product boundaries. Security units throughout operations centers are progressively concentrating on gathering and examining this information. The crucial inquiry often shifts to what an AI system actually performed, beyond its textual output, and whether its operations resulted in security compromises.
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面对who's losing带来的机遇与挑战，业内专家普遍建议采取审慎而积极的应对策略。本文的分析仅供参考，具体决策请结合实际情况进行综合判断。