Splunk MLTK for Security

Machine Learning Models and Training in the MLTK

Oliver Knapp explores the four types of machine learning models—supervised, unsupervised, semi-supervised, and reinforcement learning—and explains how they can be trained and applied within Splunk ES to detect anomalies, identify patterns, and enhance risk-based alerting. This episode equips viewers with a strong foundation to implement ML models effectively in their security operations. If you want expert advice on training and deploying machine learning models in Splunk or guidance on leveraging the MLTK for enterprise security, Somerford can help design and deliver solutions tailored to your environment and objectives.