It is difficult to scale without privacy automation while anticipating how rapidly evolving enterprises use data and account for immediate compliance requirements. A more modern privacy approach is to leverage technology, automation, and data management to create an integrated hybrid strategy for compliance.
Data Privacy
Technological development has always outpaced privacy concerns, but never more so than in the past decade. Collection and centralization of personally identifiable information (PII), tracking of movements and digital surveillance are all at unprecedented levels. Regulations and laws are only just beginning to catch up to the ability of both governments and private entities to deploy these capabilities.
What exactly is there to worry about? The mass collection and centralization of data by giant multinationals such as Facebook and Google is as good of a place to start as any. Two decades of vacuuming up the personal data of users of various online services has created the most impressive marketing capabilities in history, but these profiles have astounding potential for damage when they are used the wrong way or fall into the wrong hands.
Unauthorized information that is captured in data breaches tends to find its way to massive “combo lists” that are sold and traded on the dark web. Social security numbers are added from this breach, home addresses and phone numbers from that one, personal health information from yet another. Soon, a frighteningly complete profile of millions of individuals is available to anyone willing to pay the asking price.
These are just the established data privacy issues. The emerging ones are even worse. High-quality facial recognition technology is just beginning to roll out across the public places of some countries. Artificial intelligence is not only making mass facial recognition possible, but magnifies the power and reach of any application that involves capturing and sorting information: scanning pictures, analyzing speech, sifting through text and location data. This threatens to not only shatter anonymity and privacy, but allow for highly advanced impersonation and take the concept of “identity theft” to new levels.
Some businesses chafe at the trouble and added expense of new and emerging data privacy regulations, but they are vital to both protecting rights and privacy and instilling confidence in end users. Customers want to be able to submit their payment information without worry about data breaches and identity theft, use services without wondering what is being done with their personal information and use devices without fear of surveillance or having location data tracked. The need for meaningful safeguards only grows greater as technological capabilities increase.
Intelligence firm CipherTrace is claiming that it has developed a tool that can trace Monero cryptocurrency transactions, and that it will be provided exclusively to the U.S. DHS.
Australia's privacy commissioner has ruled that Clearview AI has violated the privacy of the country's residents, and that means it will be forced to delete its cache of their facial recognition data.
A privacy class action against Google that was dismissed in 2022 has been given new life by an appeals court. Privacy lawsuit says Chrome Sync feature collected personal information from those that chose to opt out of it, ignoring their preference to separate their Google accounts from their activity in the Chrome browser.
While many privacy concerns remain unaddressed for contact tracing apps, experts are now questioning the technical and logistics issues to justify their existence.
Elon Musk is asking a US District Court to put an end to the FTC privacy settlement the company has been subject to since May of last year, claiming biased investigations and misconduct.
The emergence of PrivacyTech has since provided and will continue to expand on solutions to help companies with privacy protection and personal data management.
List of data privacy violations is still growing since the Cambridge Analytica scandal two years ago and will not stop unless the tech giants are forced to rewrite their business models.
Privacy concerns over AI and mobile apps are rising in China as their data protection standards and respect for personal privacy appear to be lower than in the West.
The new recipients of 23andMe’s data would not necessarily have to offer consumers the ability to opt out once they take possession of it. And it remains unclear which (or how many) hands the data would wind up in, raising additional security as well as privacy concerns.










