Security Vision UEBA vs Splunk User and Entity Behavior Analytics

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.

Splunk User and Entity Behavior Analytics has no write-up on Specifiction yet; its figures are above.