Viewing entries tagged
cybersecurity

From WSJ: Why Encryption of Corporate Data Remains a Powerful but Underutilized Tool

From WSJ: Why Encryption of Corporate Data Remains a Powerful but Underutilized Tool

In her article Why Don’t Companies Just Encrypt All Their Data? Sara Castellanos details the traditional trade-offs that enterprises make between data security and utility.  As she states:

Companies can’t easily perform analysis or machine learning on encrypted data. So at a time when artificial intelligence and real-time data analysis is crucial for competitive advantage, executives must decide what to encrypt and for how long.
— Sara Castellanos, The Wall Street Journal

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 to be run without ever exposing the data."

Thales and Inpher partner for privacy-preserving predictive maintenance solution.

Thales and Inpher partner for privacy-preserving predictive maintenance solution.

From left to right: Jonathan Rouach- CEO, QEDit; Jean-Yves Plu- VP, Thales; Jordan Brandt- CEO, Inpher  

From left to right: Jonathan Rouach- CEO, QEDit; Jean-Yves Plu- VP, Thales; Jordan Brandt- CEO, Inpher  

SAN FRANCISCO, April 18- RSA Conference: Thales and Inpher sign partnership agreement for privacy-preserving predictive maintenance solution. 

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 information 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 to use the XOR Secret Computing® Engine as a foundation of their innovative solution.  This enables prediction models to be trained on distributed data sources without exposing or moving any of the data.   Together with fellow Station F Cybersecurity Program startups QEDit and Keeex, the Inpher team looks forward to continued success in this partnership.

Inpher chosen for Thales Cybersecurity Program at Station F in Paris

Inpher chosen for Thales Cybersecurity Program at Station F in Paris

Station F  is the biggest startup campus in the world, backed by Xavier Niel and located in Paris.

Station F is the biggest startup campus in the world, backed by Xavier Niel and located in Paris.

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 recognised expert in cybersecurity, Thales has now the challenge to make this programme successful creating new opportunities for the startups but also for the Group. As cybersecurity is a prerequisite for any digital transformation, we have a great venue to reach our goal: co-develop the most innovative cybersecurity solutions.
— Patrice Caine, Chairman & CEO of Thales

UBS Future of Finance Challenge: Inpher selected for Investment Banking 4.0

UBS Future of Finance Challenge: Inpher selected for Investment Banking 4.0

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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
  • Regulatory compliance, particularly with MiFID, GDPR and PSD2

The global UBS Future of Finance Challenge supports start-ups,  established and growing companies which have potential to change the way finance works and how banks meet their clients’ needs. Check out this article from Startupticker.ch for more on the program and finalists.

Inpher selected as a finalist for the Banking Cybersecurity Innovation Award at Société Générale

Inpher selected as a finalist for the Banking Cybersecurity Innovation Award at Société Générale

Inpher's XOR Secret Computing Engine est en mesure de maintenir des données cryptées tout en exécutant dessus des algorithmes d'analyse et d'apprentissage machine tout en respectant la juridiction appliquée en matière de traitement des données et la réglementation comme la GDPR.

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.  The winning company to instill  “Digitial Confidence for the Bank” will be announced on July 5.