Recent study shows that 72% of U.S. small businesses support improvements to privacy regulations yet 52% also believe that there will be a negative impact to their business. And only 15% believe that policy makers will pass regulations that do not adversely affect small businesses.
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.
The features that make blockchain so attractive to enterprises are also the very features that could lead to headaches like “blockchain privacy poisoning", which Gartner has named as one of the biggest risks facing organizations over the next few years.
Annual survey of 252 data protection and privacy officers provides valuable benchmarking information for organizations across all industries on their 2019 priorities.
Singapore has recently introduced a discussion paper on data portability to will not only improve options and outcomes for consumers, but will also improve transparency in data collection. Will the ease of proliferation of this personal data among more companies lead to a simple statistical increased likelihood of data and identity theft?
While proposed amendments to narrow the scope of the CCPA might tempt financial services organizations to put CCPA compliance on the backburner, that instinct might prove to be flawed for quite a few reasons.
The Ohio law represented a novel approach to data protection by providing safe harbor if the entity’s cyber security program conforms to industry recognized cybersecurity frameworks or federal regulations cited in the Act.
Big tech companies are pushing for watered-down privacy regulations that would largely permit them to continue doing business as usual. There is reason to suspect that these tech companies now view federal privacy regulations as a way to construct barriers and moats around their core business.
The €50 million fine against Google is a sign that GDPR grade transparency is here to stay. Legalistic privacy policies will always be with us of course, but the privacy world is currently primed to embrace a new “layered notice” paradigm for delivering privacy information to users on their terms.
Germany set a new precedent with an antitrust ruling against Facebook, forcing the company to make major changes to their data collection practices – German users are to be given a greater degree of notice and choice in how their data is used.
The Google GDR fine has demonstrated that most historical data, analytics & AI, and decentralized processing is illegal under the GDPR. Companies must focus on more than consent to legally process analytics and AI when those processes cannot be described with the required specificity and voluntariness at the time of data collection.










