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AI大模型如何给网络安全告警降噪？ episode artwork

EPISODE · Dec 20, 2025 · 8 MIN

AI大模型如何给网络安全告警降噪？

from 网络安全AI说

🎙️ 播客《AI大模型在网络安全告警降噪中的原理》Show Notes🍟核心主题解析AI大模型如何通过智能研判技术，从海量网络安全告警中精准识别真实威胁、过滤误报，提升安全运营效率。🍟关键内容速览1. 技术原理总览安全大模型通过 客制学习Agent（学习客户业务行为）和 调查研判Agent（多维度关联分析）协同工作，将告警分为 黑（真实攻击）、白（误报）、灰（疑似行为）三类。 双Agent架构保障实时处理海量告警，兼顾效率与准确性。2. 三大核心能力 判黑：关联研判真实攻击通过历史基线、上下文行为、多维度数据（如告警表、事件表）交叉验证，举例说明如何识别恶意Payload执行、主机失陷等攻击。 案例：单包无法判断的恶意下载行为，通过关联后续数据包确认攻击成功。 判白：业务误报识别建立客户业务行为基线，自动识别持续性请求、相似URL接口、静态资源访问等...去小宇宙查看完整单集简介前往小宇宙评论区与主播互动

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AI大模型如何给网络安全告警降噪？

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