Advanced behavioural models of application layer for effective analysis of traffic in business networks
Funded by the Technology Agency of the Czech Republic within the ZETA Programme
The MENDEL Content-based Analysis module uses multiple methods of artificial intelligence, machine learning, and advanced analysis to detect malicious, suspicious, and anomalous transactions on the Application Layer (OSI layer 7 - HTTP and SMB) in enterprise networks. The module autonomously learns the common behavior of defined applications and their users, and reports the anomalies, attacks, and other advanced threats to the MENDEL user.