A modern organization protects its information systems with a whole suite of technologies that generate thousands of security alerts every day. Looking at these alerts in bulk, you’ll see that a significant share are false positives. Ideally, these alerts would be filtered out automatically so that analysts could focus on the ones that may point to a real incident. However, writing filters is a time-consuming task in itself. To create a correct filter, an analyst needs to: Review the logs Identify the source of the activity Define filtering boundaries Choose filtering criteria Write a rule Check that the filter is robust This post looks at how filter creation itself can be automated to reduce analyst workload. Filter validity criteria In the context of security alerts, a filter is a combin