Medium-sized companies are being targeted even more heavily by cyber criminals than before. They are often the weakest link in supply chains that include large corporations. In 2020, attackers will exploit this to an even greater extent than before and strike in a targeted manner - using new methods…

Google has recently announced that it will be switching off the so-called webRequest API in the versions of Chrome it will release next year. This interface enables web content to be filtered. Microsoft has announced a similar move. Switching off the API makes effective filtering of web content…

In order to avoid DeepRay, attackers need to keep changing their malware core to avoid detection - a complex and costly process for them. After more than six months it is time to take stock: has DeepRay proven itself in practice?

It still takes an average of six months for cyber-attacks on companies to be detected. A major reason for this is the sophisticated methods used by attackers to infiltrate their targets. In this series of blogs, read why new cyber defence technologies are needed (Part 1), how graph databases are…

Incredible, but true - an intrusion into a NASA internal network went unnoticed for almost a year. One of the reasons for this was a minicomputer that was connected to the network without the knowledge of the IT department. The events cast a bad light on JPL's security practices.

This new remote access malware creates a second desktop that is invisible to the system's user. The threat actor can surf the Internet using the infected machine.

The STOP/DJVU ransomware is currently very active and causing a great deal of damage to users. G DATA Virus Analyst Karsten Hahn talks about the special features of STOP ransomware, what users have to do if their system is affected, and how they can protect themselves.

Read below to learn from Florian Hockmann of G Data how JanusGraph compares with Neo4j, why you should be keeping an eye out for TinkerPop 4, and get expert tips on graph data modeling.

With DeepRay, G DATA relies on artificial intelligence to detect malware campaigns at an early stage. Using Emotet as an example, we explain what this looks like on a typical day.