From Hypothesis to Action: Proactive Threat Hunting with Elastic Security

This article describes Elastic Security’s hypothesis-driven threat hunting workflow—powered by a RAG-enabled AI Assistant, validated ES|QL queries, cross-cluster search, entity risk analytics, and machine learning—illustrated through a LOLBins scenario (e.g., rundll32.exe execution) to show how analysts can rapidly validate findings, pivot to response (host isolation, process termination), and operationalize hunts into detection rules; it also highlights agentic Attack Discovery and Agent Builder for automated, natural-language-driven security operations.