Inpher Mentioned In Secure Multiparty Computation, Data Security As A Service And Homomorphic Encryption Categories
New York, New York – (July 27, 2023) – Inpher, pioneers in privacy-preserving AI and secure data collaboration are proud to be recognized in Gartner’s Hype Cycle for Data Security 2023, mentioned in three areas; Secure Multiparty Computation, Data Security as a Service, and Homomorphic Encryption. The Gartner® Hype Cycle™ is a graphic representation of how emerging technologies are maturing and being adopted to solve real business challenges and take advantage of opportunities.
“We are thrilled to be recognized in three areas of the Hype Cycle for Data Security 2023,” said Jordan Brandt, chief executive officer of Inpher. “We have been committed to delivering the most robust and secure solution to enterprise customers looking to leverage machine learning and deep analytics across their data sets with privacy always preserved, and a mention in this report validates our leadership.” Added Brandt
Gartner’s yearly Hype Cycles provide a graphic representation of the maturity and adoption of technologies and applications, and how they can be relevant to solving real business problems and exploiting new opportunities. These reports equip readers with expert guidance on key aspects of data security governance.
The Inpher privacy-preserving data collaboration platform is deeply rooted in delivering a secure and intuitive solution to assist enterprise customers with large-scale data-sharing initiatives, no matter how complex or disparate. Built by leading cryptographers for adaptive machine learning and analytics on the fly, Inpher XOR is a one-stop shop for enterprises looking to realize the value of their data.
For more information, Gartner subscribers can click here to read the full Gartner Hype Cycle for Data Security 2023
*Gartner, “ Hype Cycle for Data Security, 2023”, Published 14 July 2023
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Inpher, Inc. is a New York-based, foremost leader in privacy-preserving technology that empowers organizations to seamlessly adopt machine learning and analytics to unlock the value of sensitive data. Inpher’s award-winning platform enables secure collaboration across teams, borders, as well as organizations removing barriers and siloes and delivering the highest level of trust and precision to data collaboration initiatives. Founded by world-renowned cryptographers and engineers, Inpher has long been recognized as a leader in the fields of Secure Multiparty Computation (MPC), Fully Homomorphic Encryption (FHE), and Federated Learning (FL), and other combinations of Privacy-preserving Technologies (PETs) and continue to deliver the fastest, high-precision privacy-preserving capabilities.
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