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Signal loss from third-party cookie deprecation is killing traditional targeting in display advertising. Lookalike audiences — based on first-party publisher data — are the only viable solution to target the right audience and achieve reach at the same time.
Big changes this quarter include several new data connectors, updates to media clean rooms, and a new test mode for both draft and published data clean rooms. Read on to find out how these updates make secure data collaboration simpler than ever.
Is the end of third-party cookies really the end of targeted ads, or can it be a new beginning for brands and publishers to work together in different, and, potentially more effective ways?
Brands are often sitting on troves of first-party customer data. How can they partner in a compliant way with publishers and retailers to build deep insights about their customers?
The deprecation of third-party cookies is turning the advertising world on its head. With over 83% of marketers reliant on 3rd-party cookies, what’s set to change, what will and won’t be possible?
What does the term Confidential Computing mean, what’s behind the technology and what makes it so secure? Product manager and privacy tech researcher Andrew Knox opens the black box.
Users shouldn't have to choose between utility and privacy when it comes to the security of their datasets. Decentriq DCRs are a missing link solution.
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Juan Baron from Decentriq joins the Making Sense of MarTech podcast in an episode on major shifts in how user data flows in advertising, and the role cryptography technology plays in balancing privacy and utility.
What is OPJA, why does standardization in retargeting matter for clean room users, and what role do Privacy-Enhancing Technologies (PETs) play? This article covers the basics of the IAB Tech Lab's new proposed standard for clean room interoperability.
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By utilizing Confidential Computing technology from AMD, we are able to provide a safe and neutral space for sensitive data collaboration that meets the demands of the modern data enterprise without any compromises.
Users shouldn't have to choose between utility and privacy when it comes to the security of their datasets. Decentriq DCRs are a missing link solution.
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Bolstered by DCRs, Retail Media Networks are leveraging customer data across owned and operated channels. But what about alternative retail media channels?
How to activate a set of users from a publisher, compute the overlap, and identify the lookalike audience using datasets from two partnering brands.
A journey into the realm of VM-based Confidential Computing technology, and how we secured the guest's early boot phase.
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As third-party cookies step off stage, first-party data is stepping into the spotlight. This article explores the opportunities that customer data presents to retailers and the impact it can have on consumer targeting.
Is AI-generated Synthetic Data a privacy cure-for-all? In the second article of our Re:defining trust series we explore Synthetic Data benefits, shortcomings, and we propose a way to get the best of both worlds.
Pseudonymised data is not enough to safeguard privacy or regulations such as GDPR. Differential Privacy approaches privacy in a more quantified way, capturing the essence of the problem.
Design thinking methods became one of the trendiest innovation tools of the last decades. But, besides using it for business models, did you know you can apply it for your data collaboration strategy too?
We walk through why what is "secure" and "private" has transformed in the last few years, and why "standard" cloud encryption is not enough for a lot of use cases today.
We look at how media owners can securely and compliantly use their first-party data to support brands and their advertising in a cookie-less world.
Recent moves by Apple and Google have led to the impending death of the third-party cookie, and with it, the loss of third-party data.
We look at how retailers can leverage the opportunities around data monetization with data clean rooms powered by an encryption in-use technology called confidential computing, allowing retailers and brands to securely collaborate on first-party customer data that was not possible before.
For decades, organizations have been responsible for their own cybersecurity and cyber defence. But with evolving and advancing sophistication of cyber attacks, isolated cyber defences are no longer sufficient nor effective.
Decentriq makes it even easier for your enterprise to comply with data protection regulations even while you collaborate on your most sensitive and restricted data.
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.
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.
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.
Learn how data ecosystems allow companies to enhance the sophistication of their data-driven decision making and machine learning models.
"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."
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”.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
IM Associates orchestrated the first ever benchmarking study in a data clean room with 20 pharmaceutical companies. Read how no one ever accessed the sensitive data during the process, yet every participant gained valuable insights.
Swiss Re is working with Decentriq’s confidential computing-based platform powered by Intel® Software Guard Extensions (Intel® SGX) to help secure data privacy while performing analytics on sensitive datasets.
Decentriq and Swisscom have created a platform called Confidential Insights. Learn more about how we assessed the current landscape, challenges and the opportunity to create confidential surveys.
Read how LynxCare used the Decentriq platform to combine and analyze data across multiple hospitals on public cloud without the raw data ever being accesible to anyone but the hospital.
Hate speech, fake news, and incitement of violence are rampant on social media. Read how Koe Koe Tech, an IT social enterprise, is partnering with Decentriq to combat dangerous social media content through protected data analytics.
In this interview with Clearcode, we discuss how data clean room features impact usability for brands. Watch it now on demand.
OC3 is the world’s premier event for confidential computing, where cloud security experts come together to showcase the latest developments and use cases. The attestation process is at the core of the security guarantees provided by confidential computing, but each technology provides different security and usability tradeoffs.
Removing friction from data onboarding would boost data collaborations between Publishers and Advertisers – Goldbach presents a use case with Decentriq DCR enabling confidential and efficient data onboarding.
Digital advertising best practices need to account for privacy when working with audience activation, measurement, and enrichment. Learn more in the keynote recording and slide deck.
Experts from Decentriq, Intel, and R3 discuss the challenges of businesses when protecting user privacy as well as the most important emerging technologies for data privacy.
On 28 & 29 September 2022, privacy experts came together virtually at Bitkom’s Privacy Conference to discuss the latest trends in the field of data protection, international data transfers, and cooperation for the data economy.
A 3-minute summary of our pilot project demonstrating how DCR optimizes processes and costs in early biomarker discovery.
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The webinar together with Roche dives deep into how data clean rooms can solve challenges in healthcare data collaboration.
Our webinar together with Roche's Data Privacy Lead dives deep into how data clean rooms can enable new and exciting opportunities on healthcare data collaboration.
Listen on-demand as Maximilian Groth, Co-Founder & CEO of Decentriq, speak about the importance of data sharing for cybersecurity in this podcast for PwC Cybersecurity & Privacy Days 2021.
Watch on-demand as Maximilian Groth, Co-Founder and CEO of Decentriq, and Richard C. Schaeffer, Jr., former Senior Executive at the National Security Agency, share how organizations can safely monetize the most sensitive data assets and create new revenue streams.
Watch on-demand as Maximilian Groth, Co-Founder and CEO of Decentriq, and Georges De Feu, CEO & Co-Founder of LynxCare, share how to unlock sensitive healthcare data to drive real-world evidence (RWE) collaborations between hospitals and pharmaceutical companies.
Watch on-demand as Stefan Deml, Co-Founder and CTO of Decentriq, joins Vikas Bhatia, Head of Product, Azure Confidential Computing at Microsoft, and Alice Dal Fuoco, Innovation Manager at PostFinance, for a discussion on how confidential computing enables data use cases previously not possible.
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.
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.
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.
A 2.2M CHF grant from the Swiss government enables us to address the challenges faced by organizations collaborating on sensitive patient data while meeting the regulatory push for Real-World Evidence (RWE).
The Swiss Federal Department of Defence, Civil Protection and Sport (DDPS) has concluded a joint pilot project with the Swiss National Bank, SIX and Zurich Cantonal bank to strengthen the resilience of critical Swiss infrastructure in the area of cyber defence.
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GSBN & Decentriq partner to power the most innovative, secure, and privacy-safe consortium in the global trade industry.
Decentriq’s first no-code data clean room product tackles a burning issue for brands and publishers: strategies for first-party addressability.
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Decentriq, a Swiss enterprise SaaS platform providing the most secure and compliant data clean rooms, today announced a $5 million venture debt funding from Silicon Valley Bank UK.
The Microsoft Ignite keynote outlines the new milestones for Azure confidential computing technology, also in regards to AMD developments. This combination has incredible potential for data privacy applications, and it is developed just a few months ago.
The NCSC mentions Decentriq in their latest tech review on Confidential Computing
This Mobey Forum report on Confidential Computing is created by joint efforts of Decentriq, Intel and UBS, and is part five in the mini-report series on emerging Privacy Enhancing Technologies (PETs).
Confidential computing becomes an important tool to help Swiss organizations like Ringier and Roche during the growing scrutiny of how data is exposed and shared.
How to act in the cookieless future? Goldbach shows the way by building one of the first data onboarding solutions in Switzerland with Matto-Group and Decentriq.
Introducing the DCC framework for identifying the data collaboration opportunities.
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Find the full interview about the key actions to generate value with healthcare data on the healthcaretransformers blog.
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Read the press release about Decentriq's growth story on the Startupticker website.
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The Marketing Technology LUMAscape 2022 is available online on the LUMA website.
Discover what's coming with our Decentriq v3. The main topic? Data Clean Rooms for scale.
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The full Marketing Tech Monitor 2022 is available for purchase on the Marketing Tech Summit’s website (in German).
The new Whitepaper is part of our continuous effort to transparently communicate how we offer new features while still providing security and privacy guarantees.
Discover what's new in the latest version of the Decentriq platform. The main theme? Data collaboration doesn't need to be slow to be safe.
The full report is exclusively available to Forrester clients or for purchase on Forrester’s website.
An update from our product team – David Sturzenegger, Head of Product, Decentriq
In the article, Decentriq’s Head of Product, David Sturzenegger, dives deep into how Decentriq is leveraging Azure Confidential Computing to enable organisations to use confidential data clean rooms.
From improving patient outcomes to leveraging first-party data for more targeted marketing, data analytics have the power to revolutionize many industries and change people’s lives.
A neutral ground for data collaboration, secure and confidential - Decentriq is an enterprise software company based on future proof century old success factors. This Series A of USD 15 million fuels our mission.
Decentriq, a Swiss enterprise SaaS platform providing the most secure and compliant data clean rooms, today announced a $15 million Series A funding round led by Eclipse Ventures, with participation from existing investors Atlantic Labs, btov Partners, and Paladin Capital Group.
We’re immensely proud to launch V2 of our data clean rooms. We introduce Python support as well as Decentriq users can look forward to more types of computations, smoother workflows and an array of UI updates
We've been featured in Issue 2.2022 of Marketing Review St. Gallen.
Business Insider identified Decentriq as one of the top 16 privacy tech vendors that work in the advertising industry.
ESA Business Incubation Centre (BIC) Switzerland is powered by the European Space Agency (ESA) and ETH Zurich.
Our Co-Founder & CTO Stefan Deml and Head of Product David Sturzenegger contributed to this paper.
Discover how we can make first-party data more easily accessible for you and help maximize your marketing efforts.
We've been featured in Celent's report on Securing Insurance Data: Confidential Computing and Data Lineage Use Case.
Our article has been published in VentureBeat, a leading technology publication.
We were at the first day of the #2 Gaia-X Hackathon, which had confidential computing as one of its core tracks.
We've been featured in swisstech, the platform about Swiss innovation.
An update from our product team – David Sturzenegger, Head of Product, Decentriq
IM Associates pioneers a new approach to benchmarking with Decentriq.
We've been featured in a recent report by Celent, a leading research and advisory firm.
Swiss Re explores further protection of critical data using confidential computing, powered by Intel SGX technology and enabled by Decentriq.
We presented on how to leverage confidential computing for AML and cyber defence at the AI Lab webinar on Confidential Computing on 6 October 2021, organized in collaboration with the AI Lab of Intesa Sanpaolo Innovation Center and Cisco.
The Cyber Startup Challenge 2021 was hosted by the Cyber-Defence Campus of armasuisse.
We're proud to pitch in the UBS Future of Finance Challenge finals in October 2021!
We're proud to participate in PwC Cybersecurity & Privacy Days on 28 October 2021!
We're happy to part of the Linux Plumbers Conference 2021, a developer conference for the open source community.
Decentriq is excited to be listed on GovMarket, a leading GovTech ecosystem in Germany.
Decentriq is proud to be part of the Venture Leaders Technology 2021 program and represent Switzerland in Silicon Valley.
Decentriq is proud to be part of the Marketing Tech Summit in Hamburg on 15 September 2021!
An update from our product team – David Sturzenegger, Head of Product, Decentriq
Decentriq has been featured in the IFZ Retail Banking Blog of Lucerne University of Applied Sciences and Arts.
We're proud to be featured by EU-Startups and Venturelab.
We’re proud to have participated at the 15th MIT Chief Data Officer and Information Quality Symposium (MIT CDOIQ) in late-July, and here we share our three key takeaways from the event!
We’re proud to have been a part of the first ever summit focusing on privacy-enhancing computation solutions in early-July, and here we share our three key takeaways from the Secure and Private Compute Summit!
We’re thrilled to have participated in the Data Innovation Alliance’s Expert Group meeting on Privacy Technologies for Data Collaboration.
An update from our product team – David Sturzenegger, Head of Product, Decentriq
Decentriq participated alongside Swisscom in the Digital Infrastructure Workshop on Confidential Computing, conducted by Leap.
Decentriq is proud to be part of the first ever summit focusing on privacy-enhancing computation solutions.
Swisscom partners with Decentriq to create Confidential Insights.
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.
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.
Melissa Chien, Decentriq's Head of Marketing, provides perspectives on Confidential Computing in the Swiss IT magazine.
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.
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.
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.
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."
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.
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.
"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.
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.
"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."
Get in contact with us—we want to hear the current challenges you’re facing. Schedule time for a demo or just to learn more.
