🔒RAG SecurityDetect器

你's RAG 真'sLocal吗?

Detect RAG Configuration中'sData LeakRisk,DetectionSilent Fallback机制,ProtectSensitive DataSecurity

⚠️

为什么需要这个Tool?

某些 RAG 框架(如 LlamaIndex)存在Silent Fallback机制: 当Local ModelsFailed时,会Auto调Use OpenAI API,导致你以为Yes"100% Local"'sSystem实际上将Sensitive DataSend到了云端。

加载示例:
Configuration文件 / Code
🔍

Detect什么?

  • • API 密钥泄露
  • • 云端服务回退
  • • 外部网络请求
  • • 不Security'sConfiguration
🛡️

如何Protect?

  • • 使UseLocal LLM (Ollama)
  • • Local向量库 (Chroma)
  • • 环境become量管理密钥
  • • 定期Security审计
📚

Support框架

  • • LlamaIndex
  • • LangChain
  • • Haystack
  • • 自定义Configuration

💡 此Tool在浏览器Local运行,你'sCode不会被Send到任何服务器

How to Use RAG Leak Detector

Ensure your Enterprise AI isn't leaking private data.

  1. 1Paste a sample of the raw text your vector DB retrieved
  2. 2Run the compliance scan
  3. 3Review flagged items (e.g., SSNs, internal IP addresses, passwords)
  4. 4Adjust your chunking strategy or implement a redactor

Who Is RAG Leak Detector For?

For AI developers moving from prototypes to enterprise production.

AI Engineers

Ensure SOC2 compliance for AI tools

Security Audits

Test injection defense on RAG systems

Frequently Asked Questions

Why is this important?
If a user tricks an internal RAG HR bot, it might spill sensitive salary chunks to unauthorized employees. Proactive redaction prevents this.

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