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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.

 

Car lights in fast and slow lanes showing reinstatement of Net Neutrality rules to allow a free and open Internet
Data PrivacyNews

In the United States, Net Neutrality Makes a Comeback

April 22, 2019
Democrats pushed through a new bill to reinstate the Net Neutrality rules to prevent large broadband Internet providers from blocking or slowing Internet access, or prioritizing their own content over the content of smaller rivals.
Read More
Partners shaking hands in a cafe showing consumer trust and brand risk
Data PrivacyInsights

Respecting People’s Data Dignity: Why CMOs Should Care About How They Use Data

November 22, 2022
With consumer awareness of privacy at an all time high, there is not only regulatory risk, but also reputational and brand risk for those CMOs who drop the ball – an increasingly likely occurrence as the changes to the familiar status quo mount.
Read More
Facebook logo on tablet showing the concerns over Facebook’s data collection and personalized ads after the merger of GIPHY and Instagram
Data PrivacyNews

Facebook Acquisition of GIPHY, Plans to Merge With Instagram Stokes New Fears About Data Collection and Personalized Ads

June 1, 2020
With Instagram responsible for 50% of GIPHY's traffic, many are concerned that Facebook may use GIFs as trojans for data collection and personalized ads after the merger.
Read More
Woman having panic attack on the street showing the privacy concerns over Amazon’s new facial recognition capability to read fear on human faces
Data PrivacyNews

Amazon Claims Facial Recognition Service Can Now Read Fear on Human Faces, Amplifying Privacy Concerns

August 29, 2019
Amazon announced its facial recognition suite Rekognition is able to read fear as an added emotion. This capability has raised new privacy concerns if implemented by law enforcement agencies.
Read More
Facial recognition technology on crowd of people showing the ACLU’s lawsuit against Clearview AI’s facial recognition tools
Data PrivacyNews

ACLU Brings Lawsuit Against Facial Recognition Firm Clearview AI, Claiming It Engages in Unlawful Surveillance

June 9, 2020
Facial recognition firm Clearview AI is facing a new lawsuit for violating Illinois state privacy laws for trawling public sources to vacuum up pictures of millions of people without consent.
Read More
Data PrivacyInsights

Data Clean Rooms Alone Would Not Fix Meta’s Privacy Problems

February 6, 2023
Even if Meta were using a data clean room for marketing and advertising purposes, it would not be adequate for GDPR compliance. And without GDPR compliance, Meta can’t claim legitimate interest as a legal basis for lawful secondary data processing.
Read More
Image of engineer drawing plans on a wall representing the use of ISACA's privacy principles to develop an effective privacy program
Data PrivacyResources

eBook: Using ISACA’s Privacy Principles to Create an Effective Privacy Program

October 18, 2016
To help information security, privacy and compliance professionals architect and implement the best security and privacy practices for your organization, Rebecca Herold, lead developer and author of ISACA's Privacy Principles and Program Management Guide, provides an overview of the 14 principles and explain the importance for each business, in any country, to implement them within their own organizations.
Read More
Young people buying meal from street food truck showing consumer trust and data privacy culture
Data PrivacyInsights

The Data Privacy Disconnect Between Businesses and Consumers

February 27, 2023
Consumer trust is at an all-time low and data privacy is becoming a core expectation among 89% of consumers. This demands that businesses reevaluate how they treat their customers’ data to ensure they prioritise privacy-focused practices and technology to keep data safe online.
Read More
Man coding on laptop showing the implication of HiQ vs. LinkedIn case on automated web scraping
Data PrivacyInsights

What the HiQ vs. LinkedIn Case Means for Automated Web Scraping

December 26, 2019
LinkedIn has taken actions to terminate accounts suspected of web scraping however data analytics firm HiQ said the data was fair game for scraping. Where does the line between public and private data lies?
Read More
Healthcare worker touching network map on virtual screen showing how organizational accountability can bridge privacy and public health concerns in times of unprecedented data use
Data PrivacyNews

How Organizational Accountability Can Bridge Privacy and Public Health Concerns in Times of Unprecedented Data Use

May 8, 2020
Newly published paper on twelve organizational accountability principles to help private and public organizations balance necessary data use with privacy concerns.
Read More
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