Splunk User Behavior Analytics

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.

Incentivized

• Monitor and troubleshoot for any system errors.
• Get the insights on application data sets and do some predictive analysis.

Incentivized

• Performance-wise, it can be improved. Queries take a long time.
• Dataset exploration - More data visualization charts can be added.

Incentivized

Easier we were using Splunk Enterprise on heavy forwarder on which all the add-on were installed and were using Splunk Cloud with respect to search head and indexers stack. And with Splunk Enterprise Security premium app, we were relying on correlation rules which were throwing more number of false positive but after implementing Splunk UBA, we are now getting real-time true positive threat or incidents.

Incentivized

• Fewer team members to work on real threats.
• Less time required to deal with real incidents.
• Easy to implement across the network.

Incentivized