As someone who's interested in pentesting and red-teaming in general, I'm wondering what are some more dangerous AI/ML or LLM related vulnerabilities besides your usual prompt injection. Specifically, what kinds of flaws are harder to catch with typical pentesting methods, and how do you think pentesters are going to have to change to find them?

  • 情报分类：技术价值
  • 命中依据：AI安全风险讨论，有明确技术对象
  • 来源：Hacker News 新项目
  • 原作者：ToriTech
  • 发布时间：2026/9/12 15:27:23