InfoQ Homepage Data Privacy Content on InfoQ
-
AWS Announces Clean Rooms for Secure Collaboration with Analytics Data
During the recent re:Invent conference, AWS announced the preview of Clean Rooms for analytics data. The new service provides safe environments where multiple customers can securely share and analyze data with control of how the data is used, reducing the risk of sharing personal data.
-
Unraveling Techno-Solutionism: How I Fell out of Love with “Ethical” Machine Learning
At the recent QCon San Francisco conference, Katherine Jarmul gave a talk on unravelling techno-solutionism, in which she explored the inherent bias in AI training datasets, the bias that assumes there will be a technical solution to almost any problem and that those technical solutions will be beneficial for mankind. She posed questions for technologists to consider when building products.
-
Open-Source Constellation K8 Engine Aims to Bring Confidential Computing to Kubernetes
Constellation is a Kubernetes engine that shields Kubernetes clusters from the rest of the cloud infrastructure using confidential computing and confidential VMs. This creates a confidential context that ensures data is always encrypted, both at rest and in memory.
-
Google Brings Confidential Computing to Latest C2D and N2D Machine Types
A few months after upgrading its general-purpose (N2D) and compute-optimized (C2D) virtual machines to adopt the latest AMD EPYC technology, Google is now making confidential computing available in preview on those machine types.
-
PipelineDP Brings Google’s Differential-Privacy Library to Python
Google and OpenMined have released PipelineDP, a new open-source library that allows researchers and developers to apply differentially private aggregations to large datasets using batch-processing systems.
-
Austrian DPA Ruling against Google Analytics Paves the Way to EU-based Cloud Services
In a recent ruling, the Austrian data regulator declared the use of Google Analytics unlawful based on EU GDPR regulation. While the ruling is very specifically argued and worded, its implications go well beyond this particular case.
-
Facebook Mariana Trench Helps Developers to Find Vulnerabilities in Android and Java Apps
Recently open-sourced by Facebook, Mariana Trench (MT) aims to help developers identify and prevent security and privacy bugs in Android and Java applications.
-
IBM Fully Homomorphic Encryption Toolkit Now Available for MacOS and iOS
IBM's Fully Homomorphic Encryption (FHE) Toolkit aims to allow developers to start using FHE in their solutions. According to IBM, FHE can have a dramatic impact on data security and privacy in highly regulated industries by enabling computing directly on encrypted data.
-
Compliance and the California Privacy Act - the Empire Strikes Back
On January 1, 2020, the California Privacy Act came into effect. Many companies have not complied with the law, and the long term effects of the legislation are unclear.
-
Microsoft Extends Azure Security Center Capabilities to Partners, Adds Automation
At the recent Ignite conference, Microsoft announced several updates to their Azure Security Center offerings. These updates include enhanced cloud resource threat protection, Customer Lockbox extensions, the release of a Secure Code Analysis toolkit, additional support for Azure Disk Encryption, certificate management extensions, API automation and partner integrations.
-
Sign In with Apple Touts Single Sign-On without Sharing Your Data
At the recent WWDC 2019, Apple announced its own Single Sign-On (SS) service, dubbed Sign in with Apple. Deemed "Apple's most significant new innovation" by Time, Sign in with Apple promises not to share any personal user data, including email addresses.
-
Introducing Interoperable Blockchain Identity Solutions with Hyperledger Aries
In a recent blog post, the Hyperledger project announced their 13th project called Hyperledger Aries, which provides an interoperable identity management toolkit that enables creating, transmitting and storing verifiable digital certificates. Using this toolkit, organizations can support, secure, interoperable peer-to-peer messaging across different distributed ledger technologies (DLT).
-
Introducing TensorFlow Privacy, a New Machine Learning Library for Protecting Sensitive Data
In a recent blog post, TensorFlow announced TensorFlow Privacy, an open source library that allows researchers and developers to build machine learning models that have strong privacy. Using this library ensures user data are not remembered through the training process based upon strong mathematical guarantees.
-
Tim Berners-Lee Introduces "Solid" Decentralized Identity Platform
Solid is a new decentralized identity platform from WWW Creator Tim Berners-Lee. Solid provides a mechanism for users to own and better control the usage of their data.
-
Implementing Privacy by Design in Hyperledger Indy
Centralized identity providers, such as social media sites and consumer email services, provide convenience to users. But this approach creates data privacy and security risks. Hyperledger Indy, an open source blockchain project, is being built to address the current issues that exist in centralized identity providers by taking a 'Privacy by Design' approach to deal with these risks.