展示HN:一款AI工具,用于在审计前扫描内部文档以发现GDPR违规行为
我正在开发SafeDocs-AI,这是一款人工智能工具,旨在帮助团队检查内部文件是否符合GDPR(通用数据保护条例)要求,并在敏感信息意外泄露之前进行识别。
工作流程很简单:您只需连接您的Dropbox、Google Drive、OneDrive等账户,然后单独或批量扫描文档。该人工智能会分析每个文档,并对可能包含敏感或不合规数据的行添加内联评论,并提供修改建议。此外,还有一个报告页面,汇总所有扫描文档中出现的问题类型。
我们目前完全使用合成/虚假数据进行测试。
如果您想看看它的实际操作,这里有一段简短的演示视频,展示了工具的工作流程(所有数据均为虚假数据):[演示视频](https://www.safedocs-ai.com/video/demo.mp4)
我主要希望从这个社区获得反馈:
- 这样的工具是否真的能帮助团队改善工作流程?
- 在多个平台上扫描时,有没有明显的隐私/安全隐患我可能忽略了?
- 有什么想法可以让人工智能的注释既有帮助又不会让用户感到不知所措?
任何想法、功能建议或一般反馈都将非常感谢。我希望在进一步开发之前,弄清楚这是否对合规团队真正有用。
对于那些想要亲自尝试的人:[登录链接](https://www.safedocs-ai.app/login)
查看原文
I’m building SafeDocs-AI, an AI tool to help teams check internal documents for GDPR compliance and spot sensitive info before it accidentally leaks out.<p>The workflow is simple: you connect your Dropbox, Google Drive, OneDrive, Dropbox accounts, then scan documents individually or in bulk. The AI analyzes each document and adds inline comments for lines that might contain sensitive or non-compliant data, with suggestions for corrections. There’s also a reporting page that summarizes the types of issues across all scanned documents.
We’ve been testing entirely with synthetic/fake data.<p>If you want to see it in action, here’s a short demo video showing the tool workflow (all fake data): <a href="https://www.safedocs-ai.com/video/demo.mp4" rel="nofollow">https://www.safedocs-ai.com/video/demo.mp4</a><p>I’m mostly looking for feedback from this community:<p>- Would a tool like this actually help teams in their workflow?<p>- Any obvious privacy/security pitfalls I might be missing scanning across multiple platforms?<p>- Ideas for making the AI’s annotations helpful without overwhelming users?<p>Any thoughts, feature ideas, or general feedback would be hugely appreciated. I’m trying to figure out whether this would be genuinely useful for compliance teams before building more.<p>For those curious to try it yourself: <a href="https://www.safedocs-ai.app/login" rel="nofollow">https://www.safedocs-ai.app/login</a>