CYBERQUEST UEBA vs Security Vision UEBA

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.

Security Vision UEBA builds behavioral models for users, accounts, devices, hosts and processes, then detects deviations in activity and traffic. Its analysis combines correlation rules, statistical methods and machine learning to identify suspicious behavior and incidents. It can analyze raw data from data lakes, SIEM, next-generation firewalls, proxy servers, and Windows or Linux devices. Configured connectors support SIEM systems, Cisco, CheckPoint, Palo Alto and Juniper network devices, Squid and Blue Coat proxies, Kafka, Elasticsearch, and Windows and Linux logs. Users can add or adapt Sigma and correlation rules with a correlation rule editor. UEBA can enrich incident data and send events or incidents to SOAR or SIEM. Response actions can include adding entries to NGFW blocklists or SIEM active lists. Its API provides alarms, suspicious events and object alerts. Deployment is on premises; the maker says its machine-learning models run on customer infrastructure without sending data to the cloud. It is paid with individual pricing, and license type and support level affect cost.