Original Summary

I’m Dominik and we are building Patronus with a small team. We just released a Security API that scans text, public URLs and documents for prompt injection: https://api.patronus.studio It uses the same scan interface for text, URLs and files, including PDF, DOCX, HTML and Markdown. The response includes an allow, block or review decision and evidence for the relevant part of the input. There’s a free tier if you want to try it. Our background is on-device AI security. The models we use for detection can run on CPUs, which keeps the infrastructure and the cost per scan fairly low. We don’t need to run a GPU model for every tool result. It’s still early and I’m looking for people who are willing to try it with real or synthetic examples. I’m especially interested in false positives and in whether the output gives you enough information to decide what to do with a suspicious section.   submitted by   /u/PatronusProtect [link]   [comments]

  • 情报分类：商业与市场研究
  • 分类依据：内容涉及商业、投资或市场动态
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/9/19 19:31:07