<?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>漏洞扫描 on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/%E6%BC%8F%E6%B4%9E%E6%89%AB%E6%8F%8F/</link><description>Recent content in 漏洞扫描 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>Thu, 02 Jul 2026 10:31:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/%E6%BC%8F%E6%B4%9E%E6%89%AB%E6%8F%8F/index.xml" rel="self" type="application/rss+xml"/><item><title>AI安全测试框架搭建：从漏洞发现到持续验证</title><link>https://guijiagi.com/posts/ai-safety-testing-framework/</link><pubDate>Thu, 02 Jul 2026 10:31:00 +0800</pubDate><guid>https://guijiagi.com/posts/ai-safety-testing-framework/</guid><description>系统介绍AI安全测试框架的设计原则、测试方法与实施指南</description></item><item><title>大模型安全审计：漏洞扫描与渗透测试</title><link>https://guijiagi.com/posts/llm-security-audit-vulnerability-scanning/</link><pubDate>Tue, 30 Jun 2026 11:35:00 +0800</pubDate><guid>https://guijiagi.com/posts/llm-security-audit-vulnerability-scanning/</guid><description>系统介绍大模型安全审计的完整方法论，包括漏洞分类、扫描工具、渗透测试流程和修复建议，提供可操作的审计指南</description></item></channel></rss>