Research and development

Detection of anomalies in network traffic

Network behavior anomaly detection (NBAD) is of interest to our research team.

We are working on algorithmization of the tested network traffic to detect anomalies and identify security threats based on them.


Applied behavioral analysis

We conduct research work that enables algorithmization and analysis of user behavior based on their online activity.

Our research should be used to create a product aimed at predicting threats and protecting the user.


Research on embedded devices

We conduct research on identification and minimization of threats to built-in devices .

The aim of our research is to build a model that allows minimization of zero-day attacks with particular emphasis on vulnerabilities in embedded operating systems.