Document Matching detection for DLP
Cloudflare DLP now supports document-based detection entries that use file fingerprinting to identify similar documents in network traffic and cloud storage. Users can upload example documents, set similarity thresholds, and apply detections across Gateway policies and CASB scanning to prevent data exfiltration.
You can now create document-based detection entries in DLP by uploading example documents. Cloudflare will encrypt your documents and create a unique fingerprint of the file. This fingerprint is then used to identify similar documents or snippets within your organization's traffic and stored files.
Key features and benefits:
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Upload documents, forms, or templates: Easily upload .docx and .txt files (up to 10 MB) that contain sensitive information you want to protect.
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Granular control with similarity percentage: Define a minimum similarity percentage (0-100%) that a document must meet to trigger a detection, reducing false positives.
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Comprehensive coverage: Apply these document-based detection entries in:
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Gateway policies: To inspect network traffic for sensitive documents as they are uploaded or shared.
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CASB (Cloud Access Security Broker): To scan files stored in cloud applications for sensitive documents at rest.
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Identify sensitive data: This new detection entry type is ideal for identifying sensitive data within completed forms, templates, or even small snippets of a larger document, helping you prevent data exfiltration and ensure compliance.
Once uploaded and processed, you can add this new document entry into a DLP profile and policies to enhance your data protection strategy.
Source: original entry ↗
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