Using machine learning for anomaly detection research

Over the last years I had many discussions around anomaly detection in Splunk. So it was really great to hear about a thesis dedicated to this topic and I think it’s worth sharing with the wider community. Thanks to its author Niklas Netz in advance!

Obviously anomaly detection is an important topic in all core use case areas of Splunk, but each one has different requirements and data, so unfortunately there is not always an easy button. In IT Operations you want to detect systems outages before they actually occur and proactively keep your depending services up and running to meet your business needs. In Security you want to detect anomalous behavior of entities to detect potential indicators for breaches …

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