CYBERQUEST UEBA vs Splunk User and Entity Behavior Analytics

CYBERQUEST UEBA analyzes behavior across users, identities, devices, systems, and other entities. Its hybrid anomaly methods include 33 predefined behavioral scenarios. The product builds short-term baselines over 30 days and long-term baselines over one year, then converts deviations into prioritized, explainable risk signals and contextual calculations. User profiles include deviation scoring and historical investigation context. Entity analytics use entity-specific baselines and behavior gathered across sources. UEBA information appears inside CYBERQUEST investigations and case workflows, including timeline-driven investigations and case-management integration. The broader platform lists 276 integrations and connectors and supports on-premises, online, cloud, and hybrid deployment. Detection context combines machine learning, endpoint forensic insights, real-time threat intelligence, and relationship visualization. The product is positioned for demanding SOC environments. Pricing is on request, and listed platforms are self-hosted and web.

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