GitHub Security Lab 推出 Taskflow Agent 驱动的 AI 模糊测试教程
AI-powered fuzzing with the GitHub Security Lab Taskflow Agent
GitHub Security Lab 出了个 Taskflow Agent 框架，教你怎么搭 AI 驱动的 fuzzing 工作流，做安全测试的可以照着上手。
GitHub Security Lab 发布了一篇教程，讲解如何基于 Taskflow Agent AI 框架使用新的 fuzzing taskflow。
文章面向安全研究人员，介绍如何借助该框架搭建 AI 驱动的模糊测试工作流。内容主体是具体操作方法与使用步骤。
AI-powered fuzzing with the GitHub Security Lab Taskflow Agent
In this blog post, I explain how to use the new fuzzing taskflow based on the GitHub Security Lab Taskflow Agent AI framework. The post AI-powered fuzzing with the GitHub Security Lab Taskflow Agent appeared first on The GitHub Blog .
This report is categorized under AITOP's "How-to" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include GitHub, Taskflow Agent, 模糊测试, MCP/工具.
Primary source verification: published directly by GitHub Blog with first-party authority.
