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Read the latest news about Decentriq. For any inquiries contact hello@decentriq.com.

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article
Data clean rooms - A new approach to confidential benchmarking

Market research firms face challenges to conducting competitive benchmarking studies – all of which center on participating companies’ concerns on data privacy and meeting regulatory requirements.

News
Confidential Insights is featured in ICT Journal

ICT Journal shares more about Confidential Insights and its applications in banking.

News
Swiss Conference on Data Science 2021 - How Confidential Computing and Decentriq can Foster Greater Industry Collaboration

David Sturzenegger, Head of Product at Decentriq, will give a talk on Confidential Insights at the Swiss Conference on Data Science on 9 June 2021.

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What are data clean rooms and how to pick the right one for you?

While today's data clean rooms facilitate analysis of sensitive and confidential data within pre-defined guidelines and privacy controls, many still do not fully address the need for increased data security and data privacy, especially in highly regulated industries.

newsroom
Decentriq is a headline partner of the Secure and Private Compute Summit

Decentriq is proud to be part of the first ever summit focusing on privacy-enhancing computation solutions.

newsroom
Decentriq publishes case study with Swisscom

Swisscom partners with Decentriq to create Confidential Insights.

News
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.

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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.

Learn how data ecosystems allow companies to enhance the sophistication of their data-driven decision making and machine learning models.

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."

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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.

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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.

Academia
Closing the circle of security in the cloud

Until today, data-sensitive companies are unable to utilize the immense benefits of cloud computing. Confidential Computing is here to change this. It is well known that cloud-computing offers many advantages, from increased scalability to reduced operations costs.

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Efficient ECC in zkSNARKs using ZoKrates

Elliptic Curve Cryptography (ECC) is a powerful tool that has many applications in the blockchain space and cryptography in general. With one of the last releases, we added support for efficient ECC-based cryptographic primitives inside a zkSNARK construction.

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Is it a match? A privacy-preserving analytics tool

Buying data is a lengthy process on its own. Finding the right vendor, type of data, and passing all the regulatory and legal procedures takes time and costs money. On top of that, in practical reality, the procedure is even lengthier because it starts before the decision to buy the data.

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A new model for AI governance

Over the last centuries, humanity has tested various governance models for society and individuals. Checks and balances, separation of powers and democracy to be governed as fair as possible. It’s about not giving too much power to a single entity by having proper governance methods in place.

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Why privacy-preserving analytics are crucial for the data economy

Today for most organizations it is hard to impossible to benefit from artificial intelligence (AI). Especially, when it comes to training and applying machine learning models because they require substantial investments of money, time, data and expertise.

Confidential Computing
A cryptographic paradigm shift in data cybersecurity

According to the annual WEF report on global risks, increased cyber-threats is one of the biggest risks that companies and countries face right now. One of the most common is data breach where attackers target the database of the company in order to get access to customer data.

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Brief Introduction to Secure Cryptographic Enclaves

When Apple released the iPhone 5S in 2013, most people focused on its new camera and features such as Touch ID. However, on top of these features, Apple introduced the Secure Enclave Processor (SEP) as a separate sub-processor that would store sensitive data and run computer programs on top of it.

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The evolution of cryptography (deciphered)

Cryptography is the backbone of our current digital society, but how did it become so important? Interestingly, the systematic study of cryptography as science started only during the past century. The first type of cryptography was writing since the majority of people could not read.

Academia
Proving Knowledge of a Hash Pre-Image with ZoKrates

In this blog we implement a problem very typical for blockchain use-cases: proving the knowledge of a pre-image for a given SHA-256 digest. We will begin demystifying this machinery by computing the SHA-256 hash of the number 5. We will navigate through several options using different languages.

Academia
Introduction to zk-SNARKs (Part 1)

In this series of posts, we will look at ZKPs: a family of probabilistic protocols that has garnered increased popularity with the rise of distributed ledger technology (DLT). Let us introduce some of the theory behind this groundbreaking work and the components of its intricate machinery.

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