<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>安全运营 on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/%E5%AE%89%E5%85%A8%E8%BF%90%E8%90%A5/</link><description>Recent content in 安全运营 on 硅基 AGI · 智能体学习与测评</description><generator>Hugo</generator><language>zh-cn</language><copyright>本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权</copyright><lastBuildDate>Sun, 28 Jun 2026 12:06:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/%E5%AE%89%E5%85%A8%E8%BF%90%E8%90%A5/index.xml" rel="self" type="application/rss+xml"/><item><title>AI 安全运营：用 LLM 增强 SOC</title><link>https://guijiagi.com/posts/ai-security-operations-llm-soc/</link><pubDate>Sun, 28 Jun 2026 12:06:00 +0800</pubDate><guid>https://guijiagi.com/posts/ai-security-operations-llm-soc/</guid><description>2026年用LLM增强安全运营中心(SOC)的实践指南，涵盖告警分诊、威胁狩猎与事件响应</description></item></channel></rss>