Splunk User Behavior Analytics Reviews & Insights

In previous years, we were just relying on correlation rules which were throwing more number of false positive alerts in Splunk and which in turn creates more incidents if any ticketing tool is integrated with Splunk. This was causing more issues while handling high number of incidents with less resources as a part of the team. Aim was to reduce false positive which this product resolved our issue.

Splunk User Behavior Analytics application is necessary when any company wants to capture the threat based on user behavior instead of just counting the number of occurrences of particular event. With Splunk UBA, we can analyse number of anomalies captured and which in turn creating threats which are nearly true positive.

Splunk is used for application monitoring and data analytics purposes in our organization. It's being used by our department, and we use the Splunk mainly for application monitoring to check for error logs, alerts, and uptime for the application.

Splunk is well suited for applications with large amounts of data, and large enterprise applications. Especially if the application has interconnected modules, it helps us to analyze and monitor the application greatly.