On Thursday May 16th 2019, TechGDPR hosted it’s first open GDPR Canvas workshop: ‘Starting GDPR compliance with the GDPR Canvas’, for members of Factory Berlin. The GDPR Canvas Workshop is a workshop that is normally delivered within a team or organisation, but for this workshop we wanted to gain experience with the open format with […]
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WiFi-Tracking and Retail Analytics under the GDPR
WiFi-tracking is used for many purposes, including producing heat-maps of spaces, counting passers-by and analyzing people movement and visits. This can be extremely useful for businesses to better understand the use of their space and how to optimize this, and it is already in wide use in shopping malls, airports and hotels all around the […]
How to develop Artificial Intelligence that is GDPR-friendly
GDPR coming into effect coincides with the more widespread adoption of artificial intelligence as the technology becomes embedded in more and more enterprise applications. There is a palpable excitement around AI for its potential to revolutionize seemingly every facet of every industry. Studies reveal that 80% of executives believe AI boosts productivity. In the immediate […]
Is total privacy GDPR compliant? Zcash report shows how “Privacy by Design” handling of personal data gets us close.
Last week, Forbes examined the promise of privacy in P4 protocol in the article (“Zcash Out To Prove Privacy Is Key To Crypto Adoption With GDPR-Complying Use Cases” by Darryn Pollock). Pollock’s article included a link to TechGDPR’s Zcash GDPR assessment. In addition to the article in Forbes, ZCash has published its own statement, as […]
The GDPR + Blockchain: Reflecting back and looking ahead
Looking back, 2018 was a year full of important developments, both for privacy and blockchain – the two main areas of TechGDPR’s specialisation. In privacy, the GDPR went into effect, we paid careful attention as the first fines were issued, and the very first guidance on blockchain came out. In blockchain, a lot of guidance […]
GDPR, Blockchain, and the Principles of Privacy by Design
Since the introduction of the GDPR we have dealt with many aspects of the regulation. What has emerged as one of the most interesting areas for me to work on is Privacy by Design (or “Data Protection by Design and by Default,” in the language of the GDPR). The simple requirement to implement privacy from […]
The Limits of Blockchain Privacy and the GDPR
There are many reasons why people are excited about the possibilities of blockchain technology—from decentralized networks to the removal of middlemen—but the most popular reason is the appeal of privacy. The myth that blockchain is immune to privacy breaches, however, is quickly unraveling. Those who feel protected solely because they’re putting today’s most disruptive form […]
Blocks Ascending: The GDPR Checklist for Any Blockchain Project
The rise of blockchain technology, and its accompanying data-centric enterprises, are starting to impact how technology around the world is regulated. From China cracking down on ICOs, to new data privacy laws in California, to countries attracting entire crypto-economies to their shores, the global data privacy landscape is complex and constantly in flux. Such conditions can tempt startup […]
What the GDPR’s ‘Privacy By Design’ Really Means for Your Business
How, exactly, can privacy be designed? Companies concerned about Europe’s General Data Protection Regulation (GDPR) may or may not have already considered the curious concept of “privacy by design and privacy by default” — but consider it, they must. While it’s hardly the most charming regulatory text ever written, it’s implications are vast, and understanding it properly […]
California Residents Gain Strongest Data Privacy Rights in US
Data privacy law in California just took a giant step forward. The new California Consumer Privacy Act, which was passed at the end of June 2018, is the strictest data privacy law in the United States to date. With many GDPR-like qualities, this new legislation could signify a larger trend in US policy regarding data […]
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