Greg Ainslie-Malik
Botnet App for Splunk
Can we use ML to detect botnets? Find out how you can use the Botnet App for Splunk to detect botnets using NetFlow logs.
Understanding and Baselining Network Behaviour using Machine Learning - Part II
In this second installment we will continue to use the Coburg Intrusion Detection Data Sets (CIDDS) to determine baseline behaviour for one of the nodes we identified as critical in the first half of this series.
Understanding and Baselining Network Behaviour using Machine Learning - Part I
Learn about analytical techniques that help you to better understand your network and develop baseline for network behaviour and detect anomalies.
Named Entity Recognition and Extraction
In this blog, we’d like to take you through an example of how to develop a natural language processing (NLP) use case using the Deep Learning Toolkit.
Cyclical Statistical Forecasts and Anomalies – Part 4
Discover an alternative technique of detecting anomalies and creating alerts with the Machine Learning Toolkit.
Splunk and the WEF - Working together to unlock UK public sector AI
AI can be challenging, but it can also deliver a lot of positive outcomes. The WEF and Splunk drafted guidance for AI adoption in the Public Sector.
