Decentriq

Decentriq is a partner of T-Systems MMS

Decentriq is excited to announce a partnership with T-Systems MMS! We will be working together to provide strategic development of confidential computing within their organization and for their customers.

News

Decentriq is a launch partner of 3rd Gen Intel® Xeon® Scalable Processors

Decentriq is excited to be a launch partner of 3rd Gen Intel® Xeon® Scalable Processors! Intel® Software Guard Extensions (SGX) hardware is an integral part of the confidential computing technology that powers our platform.

newsroom

Decentriq & Confidential Computing are featured in Swiss IT Magazine

Melissa Chien, Decentriq's Head of Marketing, provides perspectives on Confidential Computing in the Swiss IT magazine.

News

Decentriq featured by BCG as one of the New Tech Tools in Data Sharing

Decentriq is featured in a recent article by the Boston Consulting Group (BCG) on New Tech Tools in Data Sharing. The article underscores the importance of data sharing and new technologies in this space.

News

Decentriq working together with IMD MBA class 2021

We are excited to announce that Decentriq is now partnering with a briliant team of five professionals from IMD MBA class 2021! Five MBA students with diverse backgrounds and experiences join forces to work together with our commercial team, bringing Decentriq's value to market.

News

Decentriq named as one of the top 10 startups to watch in Switzerland

We are pleased to report that Decentriq was selected by EU Startups as one of the top 10 promising startups based in Switzerland to watch in 2021.

News

ZHAW & Decentriq launch Expert Group "Privacy Technologies in Data Collaboration"

ZHAW Zurich University of Applied Sciences and Decentriq have announced a newly formed Expert Group with the Swiss Data Innovation Alliance focused on "Privacy Technologies in Data Collaboration."

News

Maximilian Groth, Decentriq CEO & Co-Founder, is featured in ICT Journal

Maximilian Groth, Decentriq CEO & Co-Founder, sits down for an interview with ICT Journal to discuss how Decentriq was founded, the technology (confidential computing) behind the platform, and the challenges Decentriq solves for businesses.

Webinar

[Podcast] Intel® Chip Chat - The Key to Sensitive Data Analytics is Encrypted in an Enclave

Stefan Deml, Co-Founder and CTO of Decentriq, is the guest speaker on this episode of Intel® Chip Chat. Stefan covers what Decentriq is doing to offer solutions that prioritize data safety and simplicity in a new era of confidential computing.

Webinar

[Webinar] Mandatory data-sharing versus data sovereignty

David Sturzenegger, Head of Product at Decentriq, is one of the panel speakers in this Science|Business online webinar, which explores how policymakers could and should shape the flow of data between countries and between the public and private actors.

Confidential Computing

What the SolarWinds data breach means for companies going forward

In December 2020, SolarWinds, Inc., a leading provider of network performance monitoring tools, suffered attack from a SUNSPOT malware. It hit not just SolarWinds, but also its clients, including US government agencies and Fortune 500 companies, leaving valuable data assets exposed and compromised.

News

Decentriq amongst the Top 10 finalists for the Swiss FinTech Award 2021

Decentriq has been selected under the Growth-Stage Start-up category because of our early market traction both in Switzerland and in international markets, influencing the future of FinTech.

Confidential Computing

How companies in 2021 can effectively drive machine learning by harnessing their data ecosystems.

Data ecosystems provide a deep level of data that allows companies to enhance the sophistication of their data-driven decision making and machine learning models - in theory.

Confidential Computing

Privacy enhancing computation is one of Gartner's top tech trends in 2021

"This trend enables organizations to collaborate on research securely across regions and with competitors without sacrificing confidentiality. This approach is designed specifically for the increasing need to share data while maintaining privacy or security."

News

Decentriq wins "Startup" category at eco:// award 2020

"The eco: // award therefore honors solutions and personalities this year who promote the further development of the Internet in a responsible and outstanding manner," says Oliver Süme, chairman of the Eco association.

Webinar

[Webinar] Intel, Swiss Re, and Decentriq on unlocking the value of private data

As companies are becoming more and more data driven, the need for stronger privacy and confidentiality in the cloud has never been greater. Tune in on-demand for our webinar co-hosted with Intel and Swiss Re on how companies can unlock the value of private data.

News

Decentriq partners with Swisscom, Credit Suisse, Mobiliar, PostFinance & the City of Zürich

Decentriq has been selected to participate in Swiss innovation ecosystem Kickstart's 2020 program and will partner with Swisscom, Credit Suisse, PostFinance, Mobiliar, and the City of Zürich on confidential computing solutions.

News

Decentriq raises $3.8 million in newest seed funding round

"Getting the most out of existing data assets is a complex, demanding task." says Andreas Goeldi, investor at btov Partners. "Unlocking value from data is even more difficult when different companies or organizations want to collaborate on data and analytics."

article

Data tooling for the next trillion-dollar companies

Reports and market caps show that being a data-driven company is not only paying off, but also that it is becoming the only option to navigate the data producing economy we live in. Companies understand this, so they rush to update their business models to become “data-driven” or “data-first”.

Academia

Membership Inference as a Model Training Metric

The question of data privacy in machine learning is still widely overlooked. In this blog, we propose a new machine learning training metric that greatly reduces the risk of data reidentification. It can be embedded in any model training with minimal cost.

Confidential Computing

Confidential Computing and GDPR

Mergers and acquisitions (M&A) totalled in worth almost $2.49 trillion in the first three quarters of 2019. Some prominent examples are Saudi Aramco/Saudi Basic Industries Corporation, AbbVie/Allergan, Bristol-Myers Squibb/Celgene, and United Technologies/Raytheon.

Confidential Computing

An even deeper dive into the Secure Enclaves

In the previous blog we talked about the guarantees that we can provide when a user uses our confidential computing platform Avato. We touched upon how these guarantees are provided on a high level, and what this means for the data analytics industry.

article

Confidential computing in the telco industry

What is blocking telcos from leveraging more of their networks, the generated data and machine learning? Two things: data security and data privacy. This is where confidential computing comes into play.

Confidential Computing

The Key to Sensitive Data Analytics is Encrypted in an Enclave

Combining datasets across organizations can unlock huge value, but companies are reluctant to share data due to sensitivity concerns. In this post we explore how we remove the need for a trusted third party (even Decentriq!), by using Intel® Software Guard Extensions (Intel® SGX).

Confidential Computing

Data Collaboration Made Simple and Safe: Applications in the Health Care Sector

People acknowledge the value of data and the benefits of data collaborations. Yet, concerns about data privacy and security are increasing. To solve these challenges, the leaders in the field of confidential computing establish new technologies to make data collaborations simple and safe.

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