| UEBA - User and Entity Behavior Analytics | |
Hadoop | N/A |
Clouds | N/A |
On-premises software |  |
Advanced Analytics | N/A |
Incident Response | |
Machine Learning | N/A |
Licensing model all based on identity | N/A |
Deep Learning | |
Visibility into users via reports and dashboards | |
Near real-time alerts | |
Forensic Tools | |
Customizable notification | |
Role based reports | |
Threat Intelligence reports | |
Technologies integration | |
Log collection from SaaS apps | |
Logs and User context data from Active directory | |
Logs from endpoint security solutions | |
Network flow/Packet data | |
Unstructured contextual data | |
Log collection from OS, apps, services | |
Meta data from electronic communications | |
Statistical models | |
Modelling based rules and signatures | |
Catching users with anomaly behavior on start by baselining model на старте | |
System adaptation to user's dynamic role changes |
| UEBA - User and Entity Behavior Analytics |
Hadoop |
Clouds |
On-premises software |
Advanced Analytics |
Incident Response |
Machine Learning |
Licensing model all based on identity |
Deep Learning |
Visibility into users via reports and dashboards |
Near real-time alerts |
Forensic Tools |
Customizable notification |
Role based reports |
Threat Intelligence reports |
Technologies integration |
Log collection from SaaS apps |
Logs and User context data from Active directory |
Logs from endpoint security solutions |
Network flow/Packet data |
Unstructured contextual data |
Log collection from OS, apps, services |
Meta data from electronic communications |
Statistical models |
Modelling based rules and signatures |
Catching users with anomaly behavior on start by baselining model на старте |
System adaptation to user's dynamic role changes |