As an add-on module, our User Behaviour Analytics (UBA) forms a supplementary layer to your security, to provide complete visibility, detect account compromises, and mitigate and detect malicious or anomalous insider activity.
By using ML algorithms, we categorise patterns of user behaviour, to understand what constitutes normal behaviour, and to detect abnormal activity. If an unusual action is made on a device on a given network, such as an employee login late at night, inconsistent remote access, or an unusually high number of downloads, the action and user is given a risk score based on their activity, patterns and time.
