As connected devices, big data technologies, and artificial intelligence play an increasingly important role across a growing list of business sectors, new approaches to security and privacy will be necessary to safeguard the lifeblood of these systems — data. We expect to see this manifest itself in a number of different ways next month at CES 2018. Differential privacy and, to a larger extent, blockchain technologies (and the growing attention paid to virtual currency systems) are the topics likely to dominate booths in Las Vegas and conference headlines. Continue reading Expect Security and Privacy to Emerge as Major CES Topics

Apple instituted a privacy technology, called differential privacy, that enables its software to understand users without spying on their activities. Now, Microsoft and Uber are also trying out the same technology. While differential privacy reportedly can keep data anonymous, experts warn that it’s becoming easier than ever to identify people from anonymous data sets. That includes biometrics; Citigroup has abandoned a project begun in 2015 to allow customers to scan their irises to access their accounts at an ATM. Continue reading Apple, Microsoft, Uber Turn to New Data Privacy Technology

At CES 2017, Honda’s theme will be a “cooperative mobility ecosystem,” a confluence of last year’s two showstoppers: autonomous driving and the rise of artificial intelligence. These arenas could foster mass adoption of differential privacy. Data aggregation is critical to the success of autonomous driving, and the AI-centric, newly coined notion of autonomous living, but this collection requires user buy-in. With nearly half of all Internet users expressing that privacy and security concerns are limiting their use of the Internet, new means of protecting user data will be a key theme throughout CES. Continue reading CES Will Showcase Differential Privacy for Autonomous Living

Google is re-evaluating its privacy standards with a new open source tool that is designed to maintain confidentiality among participants being evaluated in heavy data sets. The ongoing project, known as RAPPOR, stems from a 1960’s technique that disrupts the correlation between a given data point and the individual behind that data point. The project is set to preserve the privacy and identity of the individual that is often vulnerable in the hands of companies today. Continue reading Google Experiments with New Approach to Individual Privacy