Varonis adds proactive analytics and predictive threat models

Varonis Systems has announced beta availability of an 'unprecedented' set of predictive threat models that can be used to analyse and detect everything from insider threats and outsider attacks to CryptoLocker infections and suspicious behaviour.

8 years ago Posted in

Version 6.2.5 of the industry-leading Varonis Metadata Framework platform includes major enhancements to Varonis DatAlert, one of the most widely used solutions for monitoring unstructured data – which is typically the largest, most valuable and most sensitive type of data and is therefore the target of most attacks. The new capabilities represent the most advanced analytics and predictive threat models available to help organisations stem the rising tide of data breaches that are caused or exacerbated by previously undetected insider access and behavior, such as compromise of privileged accounts and privilege abuse.

The new capabilities in Varonis Metadata Framework version 6.2.5 include:

Dozens of new automated threat models for Varonis DatAlert to provide advanced behavioural alerts on access anomalies and suspicious activity

Enhanced ability for Varonis DatAdvantage to analyse metadata and automatically discover critical assets, noteworthy people and normal activity, establishing a baseline of behavior

The ability for Varonis DatAdvantage to more accurately identify unusual behavior with machine learning algorithms and behavioural threat models

Varonis adds proactive analytics and predictive threat models

Varonis Systems has announced beta availability of an 'unprecedented' set of predictive threat models that can be used to analyse and detect everything from insider threats and outsider attacks to CryptoLocker infections and suspicious behaviour.

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