In the world of cybersecurity, it is not enough to look at network traffic: it is necessary to understand it. With the European project R2D2, the CARMEN tool has taken a qualitative leap in its analysis capacity in industrial (OT) environments. Thanks to the new functionalities incorporated, CARMEN can now detect complex threats early, even those designed to go unnoticed, offering security teams a more complete and precise view of industrial infrastructure
Before R2D2: Carmen’s vision
Before the incorporation of the R2D2 project modules, Carmen was already a consolidated and prestigious tool for network traffic analysis. However, its approach was mainly oriented to IT and, although it could detect anomalies and monitor traffic effectively, in industrial (OT) environments it had natural limitations inherent to the original scope of the tool:
- OT environments: it could not deeply interpret the most complex industrial protocols, limiting the understanding of commands, registers, and critical messages.
- IT environments: the tool detected anomalies, although correlation with possible attacks from advanced groups (APTs) required additional and manual analysis.
- Detection of APTs: effective within its scope, but with a more general approach based on known patterns.
- Asset and risk map: it offered visibility of relevant events and alerts, but impact assessment on critical assets and attack routes depended on the analyst’s interpretation.
In short, Carmen was already a solid and reliable tool, capable of observing and alerting about important events on the network. What R2D2 brought was not “starting from scratch,” but expanding its capabilities: allowing it to delve into OT traffic, interpret complex industrial protocols, correlate anomalies with advanced attacks, and also offer greater control over the asset map and its associated risk.
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