Detecting a compromised account is one of the most challenging detections to build. This blog shows one approach we are using internally at Elastic to create detections that alert when multiple new events are seen for a user.

Using Threshold rules to create alerts on your alerts is a great way to maximize your analyst effectiveness without sacrificing visibility. By using these rules, security analysts spend less time investigating false positives.

This blog is a guide to configuring Elastic’s Security App to work with Cross Cluster Search

In this series of blogs we will provide an overview of our architecture, what data we send to our clusters, how and why we use Cross Cluster Search with the Security and Machine Learning (ML) applications, and how we tune, manage and notify.

Take a deep dive into Elastic Infosec team’s architecture, the many sources of data collected for security uses, how and why cross-cluster search is used, and how to configure Elastic Security and machine learning to work with cross-cluster search.

In this blog post, we will demonstrate how the Elastic Infosec team uses the Elastic Stack with Elastic Endpoint Security to build a fully instrumented malware analysis sandbox using free software.