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并能够联动SOAR等其他安全防护系统进行风险
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所属报告：
涂鸦智能：2025涂鸦智能AI安全合规白皮书（48页）.pdf
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5.5持续监控与报告 涂鸦通过构建或利用现有的统一可观测性平台，将AI系统的日志（LogS）、指标 (Metrics）、追踪（Traces）以及专有的安全事件数据进行关联存储与分析，实现了统一可 观测性平台的数据融合。这打破了数据孤岛，使得在排查问题时，能从一个异常指标快速下钻 到相关的错误日志和具体请求链路，极大缩短根因定位时间。 涂鸦还引入前沿的智能分析技术，实现对AI系统风险的深度感知和前瞻预警。其中，对 监控中识别的风险事件进行实时分级（如基础级、关注级、管控级)。通过构建“技术一应用 模型推理异常、关联数据源访问激增和网络异常流量时，系统应能自动关联并提升整体风险等 在自动化风险响应和闭环处理层面，涂鸦建立与监控系统深度联动的自动化响应能力，将 风险处置从“人工响应”升级为“系统自愈”。
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涂鸦智能：2025涂鸦智能AI安全合规白皮书（48页）.pdf
涂鸦智能"合规-by-Design"技术架构
全球AI&数据保护法规
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