Splunk MLTK for Security

Developing Your Own Machine Learning Use Cases

This episode guides viewers through building custom machine learning use cases in Splunk ES. Oliver explains how to assess current workflows, plan model implementation, test and train ML models, and deploy them in production to ensure minimal false positives while maximising security insights. If your team wants support developing bespoke Splunk machine learning use cases or optimizing existing MLTK models, Somerford provides consultancy and hands-on guidance to help you extract maximum value from your Splunk environment.