IntroSpect User and Entity Behavior Analytics (UEBA) uses AI-based machine learning to spot changes in user behavior that often indicate inside attacks that have evaded perimeter defenses. Security teams are armed with insights into malicious, compromised or negligent users, systems and devices – cutting off the threat before it does damage.
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Get a consolidated view of security relevant activities.
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.
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Prioritize security risks.
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.
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Predict malicious intent through analytics.
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.
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Get instant visibility to high risk activity.
Attack detection and forensics are intrinsically tied together, providing analysts with instant access to complete investigative records. Security teams can now triage more efficiently, make more informed decisions, and respond before damage is done.
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Aruba ClearPass + IntroSpect for an end-to-end security solution.
Aruba security provides 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.
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