While citing executives from Microsoft Azure and Box, who acknowledge that "security trumps everything else", she insightfully recognizes that there is a novel approach to this dilemma that leverages encryption in-use. "New York-based startup Inpher Inc., for example, has developed technology that enables data to be processed while it remains encrypted, allowing machine learning and analytics.
When anticipating the needs of high-tech fleets distributed around the world, more data is better. The challenge is that the owners and operators of the equipment cannot share info because it is often confidential, proprietary or both. In order to provide their customers with comprehensive, accurate and cryptographically secure predictive maintenance, Thales has signed an agreement with Inpher.
Inpher will join the Thales Cybersecurity program at the famed Station F to implement next generation products for analytics and machine learning on encrypted data.
As a finalist of the UBS Future of Finance Challenge, Inpher will present the capabilities of Secret Computing™ to address myriad challenges facing Investment Banking, including: Facilitation of data science knowledge sharing and insight, Machine Learning in capital markets, and Regulatory compliance, particularly with MiFID, GDPR and PSD2
June 16, Paris France. Out of over 40 applicants, Inpher was selected as a finalist for the Banking Cybersecurity Innovation Award by Société Générale and Wavestone. Secret Computing™ technology not only helps the bank protect their data, but empowers their data sciences teams to analyze it while remaining compliant with the upcoming General Data Privacy Regulation.