Security experts from Google have discovered a new spyware in 24 Play Store apps that, combined, have more than 472,000 downloads. Researchers have stated that this spyware also has the capabilities of normal malware and appears to have infected certain apps in Google Play with more than 100,000 installations. Cybercriminals are deploying this spyware through the advertisement framework in those compromised apps.
In this four-part series, Combating threats with UEBA, we explore hypothetical cyberattacks inspired by real-life events in four different industries: healthcare, finance, manufacturing, and education. We’ll take a look at unforeseen security attack scenarios, and discover how user and entity behavior analytics (UEBA) can be leveraged to safeguard organizations.
Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. This week, we delve into the increasing adoption of XaaS models across enterprises to achieve agility, pervasive automation, and digitization of business verticals.
User and entity behavior analytics (UEBA) is a relatively new category of cybersecurity tools that utilize machine learning (ML) algorithms to detect abnormalities in the behavior of the users and entities that belong to an enterprise network. UEBA monitors and continuously learns from the behavior of various user accounts and devices in the network, and establishes a baseline behavioral profile for each using statistical and probability models.
