In the healthcare and life sciences industry, data privacy is of the utmost importance. Best practice encrypts any sensitive information so that users can’t view this data. One challenge that many organizations within this industry face is effectively analyzing encrypted data without exposing it. Duality Technologies has developed a groundbreaking platform that successfully combats this issue.

Duality Technologies, based out of Newark, NJ, is focused on the commercialization of privacy-enhancing technologies. They support and conform to the homomorphic encryption industry consortium standards for secure homomorphic encryption technologies. They address the rapidly growing need of enterprises across regulated industries to collaborate on sensitive data.

The Duality SecurePlus platform enables secure analysis on encrypted data, deriving insights from sensitive data without revealing the data itself. The innovative technology also protects valuable analytic models from exposure to external collaboration parties during computations. The unparalleled performance and scalability of the platform makes it possible for enterprises to use advanced cryptographic methods for real-world data collaborations, while complying with data privacy regulations.

Duality signed up for a proof of concept with Oracle Cloud Infrastructure (OCI), where they ran their SecurePlus Homomorphic Encryption Analysis Engine on OCI’s recently launched Intel Ice Lake X9 Processors. The testing process consisted of running a linear regression model on encrypted data with roughly 1M records and 256 features using SecurePlus. The proof of concept included the following key performance indicators:

  • Total execution duration

  • Compute stage execution time

  • Maximum CPU utilization

Benchmarking results

The Duality team ran these X9 benchmarks against both the AMD Epyc processors and the Intel Atom processors. The results were extremely positive in favor of the Intel Ice Lake X9 processors. Duality noted that they saw a nearly three-times performance improvement overall for execution time and CPU utilization in real-world workloads that they have deployed.

Future expansion

Going forward, the Duality team has expressed interest in creating a fully performant web-based software-as-a-service (SaaS) application for their customers. Ideally, they want the Intel Ice Lake X9 processors to power these applications. They’ve also been looking into benchmarking for data science workloads to be used in production with some of their clients, specifically large financial institutions.

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