Show HN: AI 工具,在审计前扫描内部文档,查找 GDPR 违规行为

1作者: kinottohw8 个月前
我正在开发 SafeDocs-AI,这是一个 AI 工具,旨在帮助团队检查内部文档是否符合 GDPR 规定,并在敏感信息意外泄露之前发现它们。<p>工作流程很简单:您连接您的 Dropbox、Google Drive、OneDrive 帐户,然后单独或批量扫描文档。AI 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注释,并提供更正建议。还有一个报告页面,总结了所有扫描文档中出现的问题类型。 我们一直在完全使用合成/虚假数据进行测试。<p>如果您想了解它的实际应用,这里有一个简短的演示视频,展示了该工具的工作流程(所有数据均为虚假数据):<a href="https:&#x2F;&#x2F;www.safedocs-ai.com&#x2F;video&#x2F;demo.mp4" rel="nofollow">https:&#x2F;&#x2F;www.safedocs-ai.com&#x2F;video&#x2F;demo.mp4</a><p>我主要希望从社区获得反馈:<p>- 这样的工具真的能帮助团队改进工作流程吗?<p>- 在跨多个平台扫描时,我可能会忽略哪些明显的隐私/安全隐患?<p>- 如何在不让用户不堪重负的情况下,让 AI 的注释更具帮助性?<p>非常欢迎您提出任何想法、功能建议或一般反馈。在进一步开发之前,我想确定它是否真的对合规团队有用。<p>如果您有兴趣亲自尝试,可选链接:<a href="https:&#x2F;&#x2F;www.safedocs-ai.app&#x2F;login" rel="nofollow">https:&#x2F;&#x2F;www.safedocs-ai.app&#x2F;login</a>
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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&#x2F;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:&#x2F;&#x2F;www.safedocs-ai.com&#x2F;video&#x2F;demo.mp4" rel="nofollow">https:&#x2F;&#x2F;www.safedocs-ai.com&#x2F;video&#x2F;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&#x2F;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>Optional for those curious to try it yourself: <a href="https:&#x2F;&#x2F;www.safedocs-ai.app&#x2F;login" rel="nofollow">https:&#x2F;&#x2F;www.safedocs-ai.app&#x2F;login</a>