Anomaly Detection finds anomalies in Wide-Area Network (WAN) traffic patterns.
Unique time-series algorithm, taking human behaviour into account
Holistic view of all Wide-Area Network data using existing network devices
High-fidelity alerts based on anomalous network behaviour
Anomaly detection, why you need it
SightLabs’ Anomaly Detection module is a generic module that detects anomalous behaviour in time series data. This module uses the latest insights in Machine Learning algorithms, but also takes into account typical human behaviour to improve the model. The Anomaly Detection module is applied to various data sources. This wide range of sources provides a unique view on internal network traffic and is used to detect detection and collection techniques, lateral movement, and command and control communication.
Use existing network devices as data source
Detect the undetected
Highly scalable and cost-effective cyber security solution
Avert hackers, invest in Anomaly detection
Anomaly Detection finds anomalies in classified data obtained from existing WAN devices. 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: advanced hacks that have passed your defences and are preparing to attack your organization. Do not allow hackers to hide within your own network!
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