Use Cases

1. Confidential AI Datasets

Problem: AI companies need to share training datasets with partners without exposing proprietary data.

Solution:

  • Upload encrypted dataset to ZKFile

  • Generate ZK proof: "This dataset contains 1M+ labeled images"

  • Share proof with partners

  • Partners verify dataset quality without seeing images

  • Selective access granted after agreement

Benefits:

  • Protect intellectual property

  • Enable data marketplaces

  • Comply with privacy regulations

  • Maintain competitive advantage


2. Private Healthcare Records

Problem: Patients want to control their medical records but need to share them with doctors.

Solution:

  • Patient uploads encrypted medical records

  • Generates ZK proof: "Patient has condition X" (without revealing full history)

  • Shares time-locked access with doctor

  • Doctor accesses only necessary records

  • Access automatically expires after appointment

Benefits:

  • Patient data sovereignty

  • HIPAA compliance

  • Reduced data breach risk

  • Portable medical records


3. Secure Document Sharing

Problem: Legal firms need to share sensitive documents with clients securely.

Solution:

  • Lawyer uploads encrypted contract

  • Generates shareable link with expiration

  • Client accesses with their wallet (no password needed)

  • Access automatically revoked after signing

  • Immutable audit trail of all access

Benefits:

  • End-to-end encryption

  • No email attachments

  • Compliance with legal requirements

  • Verifiable access logs


4. Decentralized Identity Documents

Problem: Users need to prove identity without exposing sensitive documents.

Solution:

  • User uploads encrypted passport/ID

  • Generates ZK proof: "I am over 18" or "I am a US citizen"

  • Shares proof with service provider

  • Provider verifies without seeing actual document

  • User maintains privacy

Benefits:

  • Privacy-preserving KYC

  • Reusable identity proofs

  • Reduced identity theft risk

  • Compliance with GDPR


5. Research Data Collaboration

Problem: Researchers want to collaborate on sensitive datasets without exposing raw data.

Solution:

  • Research team uploads encrypted dataset

  • Generates ZK proofs about data properties

  • Collaborators verify data quality

  • Selective access granted for specific analyses

  • Results published without exposing data

Benefits:

  • Enable multi-party computation

  • Protect participant privacy

  • Accelerate research

  • Comply with IRB requirements


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