SOAR use cases come in all shapes and sizes, but almost all of them rely on threat intelligence to determine the risk posed by the various indicators in the event. Our two new community playbooks leverage Splunk Intelligence Management (previously TruSTAR) to gather intelligence about indicators and enable rapid manual response by an analyst within a single prompt.

The Splunk Threat Research Team recently updated the Active Directory Lateral Movement analytic story to help security operations center (SOC) analysts detect adversaries executing these techniques within Windows Active Directory (AD) environments. In this blog post, we’ll describe some of the detection opportunities available to cyber defenders and highlight detections from the analytic story.

Authors and Contributors: As always, security at Splunk is a family business. Credit to authors and collaborators: Ryan Kovar, Shannon Davis, Marcus LaFerrera, John Stoner, James Brodsky, Dave Herrald, Audra Streetman, Johan Bjerke, Drew Church, Mick Baccio, Lily Lee, Tamara Chacon, Ryan Becwar. If you want just to see how to find detections for the Log4j 2 RCE, skip down to the “detections” sections.