Goto

Collaborating Authors

 vpnmentor


Over 1 million fingerprints leaked at one of world's biggest biometric firms, researchers say

FOX News

Fox News Flash top headlines for August 15 are here. Check out what's clicking on FoxNews.com Researchers at a cybersecurity firm said fingerprint and facial recognition data was exposed at a major biometric company, saying the potential for "fraud is massive." "This is a huge leak that endangers both the businesses and organizations involved, as well as their employees," cybersecurity firm vpnMentor said in a blog post about the breach on BioStar 2, a biometric security platform built by Suprema, one of the world's top security device and security system providers. Biometrics uses human features such as fingerprints and facial recognition for authenticating a person's ID. "Facial recognition and fingerprint information cannot be changed. Once they are stolen, it can't be undone," vpnMentor said.


How to spy on Google and Facebook's spying

Daily Mail - Science & tech

An online tool allows users to see exactly what kind of detail Facebook, Google, and Instagram are keeping about the digital online activities of users. Popular dating site Tinder, for example, knows the time, date and number of exchanges you have online. The findings show that apps can even ignore'Do not track' requests from mobile devices, and these include Netflix and online dating apps Hinge and Happn. A new site allows users to see exactly what kind of detail social media sites like Facebook, Google, and Instagram keep about your online activity. Facebook can tell if its emails to user's email accounts have been opened, and a wealth of information about the status of the device and signal being used to access the app.


Advanced detection based on unsupervised machine learning vpnMentor

#artificialintelligence

The SecBI solution is about advanced detection. It helps organizations to detect and mitigate the most complex and hidden threats that are out there. SecBI provides full-scope incident detection, compiling all the affected users, domains, devices and servers into a single incident. SecBI's unique technology is based on unsupervised machine learning algorithms that continuously analyze the massive amount of network security log data for hidden and unknown security incidents. Security teams still base their work on alerts.