<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>大模型安全 on 黄文卓 | DevOps Engineer</title><link>https://socake.github.io/tags/%E5%A4%A7%E6%A8%A1%E5%9E%8B%E5%AE%89%E5%85%A8/</link><description>Recent content in 大模型安全 on 黄文卓 | DevOps Engineer</description><generator>Hugo -- gohugo.io</generator><language>zh-CN</language><managingEditor>17691281867@163.com (Wenzhuo Huang)</managingEditor><webMaster>17691281867@163.com (Wenzhuo Huang)</webMaster><copyright>© 2026 Wenzhuo Huang</copyright><lastBuildDate>Fri, 23 Jan 2026 11:01:00 +0800</lastBuildDate><atom:link href="https://socake.github.io/tags/%E5%A4%A7%E6%A8%A1%E5%9E%8B%E5%AE%89%E5%85%A8/index.xml" rel="self" type="application/rss+xml"/><item><title>LLM 应用安全：Prompt Injection 防御与 AI Guardrails 实战</title><link>https://socake.github.io/posts/llm-security-guardrails/</link><pubDate>Fri, 23 Jan 2026 11:01:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/llm-security-guardrails/</guid><description>我们的 AI 客服系统曾被一个用户用一句话绕过所有限制，让它泄露了内部知识库的敏感信息。这篇文章系统梳理 LLM 应用的安全威胁模型，以及我们在生产系统中实施的防御层次。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/llm-security-guardrails/featured.jpg"/></item></channel></rss>