Inpher XOR
byInpher
Inpher XOR is a privacy-preserving computing platform that enables organizations to perform secure analytics and machine learning (ML) on sensitive, distributed data without compromising confidentiality. By leveraging advanced cryptographic protocols, XOR allows data scientists and privacy engineers to collaborate on data across departments, jurisdictions, and organizations while ensuring data privacy and compliance with global regulations.
Features
- XOR offers several key features:
- Data-in-Use Encryption: Enables the use of all data features to build highly accurate models without compromising privacy.
- Seamless Integration: Provides a REST API and Python library for easy integration with existing AI pipelines, supporting both on-premise and cloud deployments.
- Secret Sharing: Utilizes encryption-in-use to make collusion virtually impossible, safeguarding data and models during computation.
- Data Residency Compliance: Ensures that organizations never have to transfer data outside their internal firewalls, maintaining control over data residency.
- Support for Multiple ML Use Cases: Facilitates secure federated learning, collaborative model development, and cross-border data compliance.
- Regulatory Compliance: Helps organizations comply with global privacy and data regulations such as GDPR, CCPA, and HIPAA.
Product Details
- Pricing
- Custom
- Deployment
- Hybrid
- Location
- 🇺🇸 New York, United States
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