Splunk for Security: Normalisation - Understanding CIM

In the third episode of our series on the Common Information Model (CIM), we explore how to maximise the benefits of CIM by effectively normalising data. The CIM itself is essentially a comprehensive collection of data models that Splunk continuously updates to support consistent data normalisation. Properly mapping all your data to these models enhances search efficiency and ensures that data remains relevant and actionable, particularly in security contexts where swift and accurate responses are crucial.

To normalise your data to CIM, start by downloading and installing the CIM add-on from Splunkbase, then align your data either manually or by using specialised apps and add-ons. The advantages of CIM compliance include improved search acceleration and reduced overhead, leading to faster responses and better security outcomes. However, normalising large data estates can be resource-intensive, so careful planning and regular maintenance of your CIM configurations are essential for ongoing compliance and optimal performance.