By now, the Social Credit System that the Republic of China has been planning to implement since 2014 is known about across the globe. If you think the Western world is miles apart from taking measures even remotely similar to the SCC in China, then you’re dead wrong.
The annual ENISA threat landscape report is one of the most helpful tools for keeping a finger on the pulse of current trends in cyber threats. This year's report highlights the dramatic rise in denial of service and cryptojacking attacks.
User activity monitoring and insider threat detection is evolving to get ahead of the ever increasing threat to user data. Providing advanced analytics, insightful intelligence, and effective response mechanisms, it addresses three critical components of data security in 2019.
New report detailed a wide variety of IoT security and privacy flaws in common smart devices bought off-the-shelf from major retailers. Some of which are sending personal information to third party companies in China.
Many believe that virtual currencies could be a driving force in economic growth. Two new bi-partisan bills will seek to regulate virtual currencies while establishing significant protections for U.S. consumers.
Society is finally starting to wake up to the immense privacy implications of real-time facial recognition surveillance as seen in the latest developments in San Francisco, London and the White House.
Most organisations are hungry for the insights and business value to be gleaned from their customer data but wary of falling foul of GDPR. It’s a privacy minefield that many businesses will have to navigate in 2019 and beyond.
New research study presented in Davos shows that developing economies that adopt digital ID systems have the potential to grow their annual GDP by up to 13 percent by the year 2030. The big caveat, however, are questions about personal privacy.
Research shows that customers expect a response window of 0.1 of a second when it comes to IoT devices and companies must consider the speed and security differences based on the device connection.
The Google GDR fine has demonstrated that most historical data, analytics & AI, and decentralized processing is illegal under the GDPR. Companies must focus on more than consent to legally process analytics and AI when those processes cannot be described with the required specificity and voluntariness at the time of data collection.










