As semiconductors transform more everyday devices into smart devices, even more companies will be downloading their information and storing it, creating a growing data privacy problem.
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.
Amazon's new sleep tracking technology proposes to cast an "electromagnetic bubble" over customers. Critics have raised multiple concerns, including exactly what Amazon intends to do with the data it collects.
Predictive policing models have shown remarkable ability to help clamp down on illegal activity and reduce crime. But do these methods lead to systematic bias against certain minority communities or ethnic groups? IUPUI study based on real-world data shows there is no statistically significant evidence of racial bias.
A new Thailand cybersecurity law went into effect last week, and is controversial more for what it doesn't specify than what it does. As it is worded, it appears to give the Thai government very broad powers to monitor internet use, censor content and even seize property without court orders.
Recent DOGE actions in U.S. Treasury computer systems have raised particular privacy concerns and triggered lawsuits. Some government officials and legal experts are claiming that this access to federal data breaches the Privacy Act of 1974 among other regulations.
A lawsuit that follows on from the Epic Games vs Apple judgment of late 2021 has now been joined by the DOJ and 35 states, as Apple's app market policies are increasingly tested against antitrust laws.
You can build privacy training that meets every one of the compliance requirements out there and doesn’t force you to constantly shift your program to meet changes.
A new data sharing law that recently went into effect in New York City is being challenged by food delivery giant DoorDash on the grounds that it requires revealing too much confidential and sensitive information to restaurants.
Draft NIST Privacy Framework For Protecting Individual Privacy Will Also Enhance Enterprise Security
A draft NIST Privacy Framework meant for all organizations, regardless of size or sector, to use in improving privacy and security has been released for public comments.
FLEDGE and Google Topics can now be blocked either individually or together in the DuckDuckGo Chrome extension. Together, FLEDGE and Topics are meant to replace the standard tracking cookie used for ad targeting.








