Anomaly
Detection

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

Anomaly detection face

Unique time-series algorithm, taking human behaviour into account

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Holistic view of all Wide-Area Network data using existing network devices

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High-fidelity alerts based on anomalous network behaviour

Anomaly detection, why you need it

Anomaly detection, why you need it

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SightLabs’s 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

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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!

Avert hackers, invest in Anomaly detection

Talk to one of SightLabs’ trusted experts!

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