CryptoNumerics helps organizations address privacy challenges and requirements in an automated and enterprise-class manner. Our solutions balance the demand for data with analytical value required in Data Science while still meeting privacy compliance.
Privacy Automation: Addressing privacy governance and compliance in an enterprise-class, end to end process for generating data with higher analytical value for Data Science and Analytics, ML and AI applications
- Higher quality data for Data Science
- End to End Privacy Management
- Automated Risk Assessment and Scoring
- Privacy Preserving Actions Applied
- Audit & Compliance Reports
Virtual Data Collaboration: Allowing organizations to collaborate for data science across divisions and externally without actually sharing or combining the data and therefore simplifying and meeting Risk and Compliance requirements.
- Leverages Secure Multi-Party Computation (MPC)
- Metadata and Schema data exchanged
- Secret Shares exchanged (not the data)
- Build and Train Models from Shares
- Gain business insights without sharing data
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