Any leader handling data in this ever-evolving landscape must understand how to categorize data to better protect their organizations and customers when working in challenging and emerging markets.
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.
AI regulation and risk governance have evolved from niche concerns to board-level priorities in under three years. Organizations that succeed will be those that treat AI not only as an opportunity, but as a domain requiring disciplined legal, operational, and contractual stewardship.
Adjusting to life under the GDPR in 2018 will be difficult. But tech implications of the GDPR will drive greater growth of the digital economy, not less.
With the recent major GDPR cases on Facebook and Google, DPOs at smaller companies are getting worried and challenged in ensuring terms and conditions and privacy notices are not mixed up.
If the new rules are approved, a broad range of Chinese companies will be subject to screening of data transfers that involve personal information or pertain to critical infrastructure.
Business and employment networking giant LinkedIn is being hit with a big GDPR fine for failure to obtain sufficiently informed consent for ad tracking, and for not having a valid basis for its processing of first party personal data for this purpose.
With CPRA, also known as CCPA 2.0, potentially heading to California’s November 2020 ballot, what are the steps that businesses need to take to be ready for the law?
Microsoft is now the first major tech company that says it plans to abide by the new CCPA not just in California, but also to honor California’s digital privacy law in every state where it operates in the United States.
The Data Act would make data sharing terms more easily accessible to end users, allowing them direct access to stored data and controls to limit its use and movement.
Google is facing a €325 million fine from French data regulator CNIL for its placement of cookies that may not have been noticed by those signing up for new accounts and its use of ads in Gmail.









