Clustering SightLabs

Clustering

Blue divider

Anomaly Detection finds anomalies in Wide-Area Network (WAN) traffic patterns.  

Clustering SightLabs

Highly-scalable solution for analyzing network data

1

Advanced machine learning algorithms for automated classification and clustering of network devices

2
3

Detect anomalies in highly-detailed flow data from existing network devices

Clustering offers top of the line network analysis

Clustering offers top of the line network analysis

Blue divider

SightLab’s Clustering module is an extension to our Anomaly Detection module. Whereas Anomaly Detection requires pre-classification of the input data, Clustering will perform automated classification based on the similarities in the interactions described in the data. Anomaly models are then built for all traffic within and between clusters. This allows Clustering to scale up to large, complex data sources without requiring extensive data preparation. Our main implementation uses network flow information collected from Local Area Networks, Wide-Area Networks or data centre environments and is very well suited for detecting discovery techniques and lateral movement.

Use existing network devices as a data source

Detect the undetected

Highly scalable and cost-effective cyber security solution

Clustering is intertwined with our overall platform

Blue divider

Clustering finds anomalies in unclassified netflow data. This forms part of our overall platform strategy: using existing data sources to detect adversary behaviour. By using existing data sources, a holistic view is obtained. No more blindspots in your IT landscape! This strongly improves the chance of detecting the undetected: the advanced hackers that have passed your defences and are preparing to severely impact your organization. Do not allow hackers to hide on your own turf.

Clustering is intertwined with our overall platform

Talk to one of SightLabs’ trusted experts!

Toestemming*
This field is for validation purposes and should be left unchanged.