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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.

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.

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

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."

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

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.

article

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.

article

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.

article

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.

article

Brief Introduction to Secure Enclaves

We previously wrote about the importance of encryption in-use and why it is harder then "standard" encryption. In this article we introduce the concept of a Secure Enclave, that deals with a lot of the headaches that come with operating on encrypted data.

article

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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