Ownership of privacy is best shared between legal, customer and security teams to help organizations fulfill compliance requirements and meet customers’ privacy expectations.
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.
An environmental, social, and governance (ESG) framework is not a new business term, but what it means for a given company is constantly changing. There’s an emerging area that’s quickly gaining traction in the new, better understanding of ESG - data privacy.
With the rise of compliance requirements and regulations, companies should start measuring data privacy risks to avoid expensive privacy breaches and maintain a good reputation.
Using a people-centric approach to data privacy management can significantly reduce the costs associated with privacy compliance, and help organizations accelerate efficiency and speed to avoid regulatory penalties.
After a months-long campaign against the Apple privacy update that impacts personalized advertising, Facebook has shown what appears to be a conciliatory tone.
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.
The FCC’s historic overturning of the Obama-era Net Neutrality rules could have profound implications for the Open Internet. While there are potential censorship and service pricing implications of this move, what are the long-term impact on data privacy and cyber security?
Personalization is driving dynamic, tailored experiences. The reliance on data raises data privacy concerns, and when new “zero-data” sharing social networks like Openbook pop up, questions over the use – and misuse – of data is inevitable.
Apparent trend toward heavy government regulation of personal data collection has tech industry titans discussing support for a federal privacy law so that the industry-supported legislation contains terms that are as friendly to them as possible.
A wildlife park in Hangzhou has landed in some legal trouble after implementing a facial recognition system. A court agreed the sudden switch to this system constitutes privacy infringement.










