📄 中文摘要
该系列旨在指导用户如何在家庭实验室中从零开始构建 AI 安全测试管道。第一部分涵盖了自动化的 LLM 漏洞扫描、提示注入测试以及利用开源工具构建防御层的过程。通过这些步骤，用户可以有效识别和修复潜在的安全漏洞，提升 AI 系统的安全性和可靠性。
我的家庭实验室中的 AI 安全系列 1 ~ 使用 NVIDIA Garak 和 OWASP 前 10 构建 LLM 红队管道 ~
📄 English Summary
[AI Security in My Home Lab] Series 1 ~Building an LLM Red Teaming Pipeline with NVIDIA Garak and OWASP Top 10~
This series aims to guide users on how to build an AI security testing pipeline from scratch in their home lab. The first part covers automated LLM vulnerability scanning, prompt injection testing, and building defense layers using open-source tools. By following these steps, users can effectively identify and remediate potential security vulnerabilities, enhancing the security and reliability of AI systems.