Massive data leak (handed over to German business newspaper Handelsblatt) reportedly contains troves of customer payment information, employee personal information, and customer safety complaints about the automated driving functions of Tesla vehicles.
Data Protection
Certain types of personal data are very valuable to criminals, and can be very damaging to an individual or business if it falls into the wrong hands. As the world becomes more digital and more connected, more of this sort of data is generated and passed between various sources on a regular basis.
Government regulations and supervisory authorities aren’t just about keeping irresponsible parties in line. They also provide vital security guidance to every type of organization that handles sensitive personal, business or government information.
Data protection regulations also ensure that the end user has a transparent view of and a say in the processing of personal data. These safeguards play a significant role in everything from the preservation of civil rights to ensuring that democratic institutions function properly.
Some types of personal data are clear candidates for regulation: medical records, banking information, national ID numbers and so on. But some of these regulations also cover items that might seem relatively innocuous at first glance: home addresses, email addresses, website profile information and so on. For example, the European Union General Data Protection Regulation (GDPR) has stipulations about anything that is unique to an individual to include phone numbers and social media accounts. People have varying levels of privacy preference with these items, but they are often protected by regulation because they can be used for targeted scams and attempts at identity theft.
Given that regulations often take the size and customer count of businesses into consideration in terms of penalties and the scope of protection of personal data, compliance is particularly important for enterprise-scale organizations. You do not necessarily have to have an active business presence in a country or region; simply storing data on or moving it through servers there may subject you to their data protection rules.
As we move into 2022, developments in ransomware, growing data sprawl, hybrid working, the nascent but growing use of artificial intelligence (AI) and machine learning (ML) technologies will continue to make a significant impact on data protection and management.
China’s new GDPR-style data protection law does almost nothing to curb the state's unfettered access to data stored within the country, but does sharply limit the ways in which tech firms can handle and share it.
Despite formally pulling out of the EU market, Clearview AI continues to face legal difficulties as its facial recognition database has drawn a €30.5 million ($33.7 million) GDPR fine from the Dutch data protection agency.
California’s $1.35 million penalty against Tractor Supply marks a turning point in retail privacy enforcement. Until now, many retailers assumed regulators were more interested in tech giants than store chains. That assumption is over.
Recent ruling by the CJEU has given the region's data protection authorities a much greater ability to pursue cases against Big Tech companies that are not headquartered in their territory.
If 2024 was the year of artificial intelligence (AI) hype, 2025 was the year of AI accountability. The legal landscape shifted from theoretical debates to concrete enforcement actions and compliance deadlines.
Email marketing frequently operates across borders, with the ever-growing creativity and complexity of campaigns designed to engage customers wherever they...
Twitter will pay a GDPR fine of €450,000 (about $546,000) in the first EU cross-border enforcement action brought against a tech giant.
The US tech companies oppose what they call an "undue expansion of government access," but also a requirement that they seek permission before being allowed to send local data overseas. The proposed data protection law also has vague and expansive terms here.










