Splunk MLTK for Security

Machine Learning Use Cases in Splunk ES

Oliver Knapp dives into practical use cases for the MLTK, highlighting ways to optimise SIEM performance, automate event filtering, and enhance risk-based alerting. The episode demonstrates how pre-built models and predictive analytics can be applied across real-world security scenarios to detect anomalies and improve operational efficiency.

For organisations looking to enhance their Splunk Enterprise Security deployment with tailored machine learning applications, Somerford can help identify, implement, and optimise use cases that deliver measurable outcomes for your business.