Use Case Examples
Manufacturing Predictive Maintenance
There’s an increasing need for manufacturers to share and leverage confidential data to address a range of business needs including predictive maintenance, establishing digital twins, processing confidential sensor data across multiple parties and more. Enabling collaborative analytics on confidential data is critical to unlocking key use cases in manufacturing.
The Opaque Solution
The Opaque Platform enables data to be collected in a host cloud enclave that can support deep analytics without sharing any of the underlying sensitive data across organizations. With Opaque, organizations can achieve analytics at scale on confidential data owned by manufacturers.
Anti-Money Laundering
With hundreds of billions of dollars in money laundering occurring annually, an effective solution requires confidential analytics collaboration across financial institutions. Data sharing and collaborative analytics are key to identifying suspicious activity while meeting compliance regulations.
The Opaque Solution
Opaque enables secure collaboration by keeping each bank’s data confidential while supporting analytical queries that are able to track transactions and identify patterns across multiple institutions.
Credit Risk Modeling
Multinational financial institutions are looking to expand into new market segments, but lack sufficient data to build an accurate model to assess consumer credit risk in new segments. The ability to securely access, analyze and train ML models on millions of confidential customer records is key to unlocking new markets.
The Opaque Solution
Through the fortified environment provided by Opaque, financial institutions can successfully share and process data while maintaining confidentiality. Secure collaborative analytics on the Opaque Platform enables better trained models without compromising confidentiality or compliance requirements.
Health Care Provider Matching
Matching volunteer care providers with clients entails navigating sensitive health care data across organizations while protecting access and usage of sensitive data. Collaborative analytics and secure data sharing on confidential data open up a range of urgent use cases across healthcare.
The Opaque Solution
The Opaque Platform enables data to be securely shared and analyzed while maintaining confidentiality to each party and protecting data end-to-end.
Cross Team Data Sharing
Organizations face a common problem of sharing confidential data securely across separate Lines-of-Business. For example, determining which fields contain personal information can introduce processing delays, and tokenizing or redacting fields can result in lower quality analysis. Overcoming these challenges enables organizations to leverage the full potential of confidential computing.
The Opaque Solution
With Opaque, data can be easily shared and analyzed without compromising personal data. The result is faster analytics and ML, without delays and higher accuracy from enabling secure data access to complete data sets and all data fields.
