In this blog post, we walk through our release of a fully trained detection model, anomaly detection configurations, and detection rules that you can use to get your ProblemChild framework up and running in your environment in minutes.
In this blog, learn how you can use Elastic machine learning to create your own ProblemChild framework to detect living-off-the-land (LOtL) activity in Windows process event data.
Machine learning (ML) models are often designed to make predictions about future data. However, over time many models’ predictive performance decreases as a giv
By understanding why a model classifies a binary as benign or malicious, security practitioners are better equipped to remediate an alert.