
UEBA
Using user and entity behaviour analytics to protect your estate
SenseOn has designed several advanced behaviour analytics which use machine learning to constantly adapt to changing behaviours.
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UEBA
SenseOn has designed several advanced behaviour analytics which use machine learning to constantly adapt to changing behaviours.
Arrange a demoTo ensure that your digital estate is covered from all angles, SenseOn uses a range of analytics to track unusual user behaviour. These analytics include tracking unusual logins, rare processes to domain connections, suspicious login times and unusual amounts of data sent to certain locations.
SenseOn has developed a unique method of modelling typical user and device behaviour, identifying instances that do not conform to established baselines. These baselines are instantly configured and constantly adapt to changes within your environment.
We have designed a unique method of anomaly detection and classification that starts with unsupervised statistical learning, performs autonomous class labelling, and finally builds a supervised classification engine. This drastically reduces the number of false positive alerts within the SenseOn platform.
SenseOn were awarded the WEF Technology Pioneer Award in 2021.
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