Data Enrichment and Sharing
Leveraging deep packet inspection, optional active scanning and, AI engine, MDefend auto identifies and classifies all medical devices and assets deployed with a network to form an accurate, live inventory.
This granular visibility includes the device's type, vendor, model, as well as version and hardware IDs (MAC, SN).
The system provides further visibility into the traffic flows of the devices and its interactions with its own ecosystem. Device-specific risk assessments are conducted based on known vulnerabilities detected threats, and the assembled insights are used to stitch together a composite view, assessing the risk of the business as a whole.
This data is then pushed by MDefend into Cisco ISE, boosting its classification capabilities and providing a single porthole from which all network devices can be monitored and managed. Both systems — MDefend and Cisco ISE — continuously communicate with each other, creating a sort of data feedback loop that refines and enriches their shared functionality.