IntroSpect User and Entity Behavior Analytics (UEBA) and Network Traffic Analysis (NTA) solutions use AI-based machine learning and advanced analytics to help detect, investigate and respond to hidden inside attacks that have evaded perimeter defenses – before they do damage.
Entity360 represents an entity’s security-relevant activity regardless of data source, devices used or activity type. It includes a risk score (0 to 100) as well as a full security profile with hours worth of investigation available in a single click.
Entity risk scores based on machine learning can account for key factors like the order and time of incidents across various attack stages as well as time since detection and business context. Accurate, normalized scores mean security analysts can confidently prioritize their efforts.
Machine learning-based analytics build baselines for normal behavior of both individual entities and groups by continuously monitoring IT activities – like authentication, remote access, internal access to high-value resources and cloud app usage – across network and log data.
Award winning Aruba security products provide 360 degree protection by combining ClearPass network access control with behavior analytics-based attack detection and alerting for a complete solution that secures your organization from malicious threats.