The Airlock Anomaly Shield uses machine learning technologies to detect anomalies in sessions and react to them with appropriate actions. This approach is particularly suitable for reliably detecting automated accesses such as those from botnets or web crawlers, because they exhibit different access patterns than "real" users. The Anomaly Shield is trained directly on the data of the protected application and is therefore optimally adapted to the protection of these applications. 

With the new release, the Anomaly Shield becomes visible in the GUI. The service, applications, patterns and rules can be conveniently administered in the Configuration Center. In addition, the anomaly scores of sessions are now visible in reporting dashboards.

Monitoring of security components is an important task. Information about service health, traffic, or technical statistics, such as the number of blocked attacks, should be accessible dynamically from the outside. Tools such as Prometheus allow a quick overview of all deployments. Airlock Gateway now offers the most important information about its status in its own metrics interface.