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Three Practical Ways to Accelerate Threat Hunting Using Search

Guide

A hands-on guide to using natural language, guided filters, and investigation workflows to hunt threats faster and reduce manual effort

This guide shows you how to use Exabeam Search to hunt threats with natural language input, guided refinement, and investigation timelines.

Threat hunting often depends on advanced query skills that only a few analysts have. As your environment and data volumes grow, that slows early investigation and limits how often you can test hypotheses and investigate suspicious behavior.

You’ll learn three ways to hunt threats using Search and move from questions into investigation context. The guide helps you reduce reliance on complex query syntax so less experienced analysts can participate in threat hunting and investigation workflows.

Key Questions This Guide Helps You Answer

  • How can you start a threat hunt using plain language instead of query syntax?
  • When should you use guided search versus advanced queries?
  • How do investigation timelines help you connect events during a threat hunt?
  • How can less experienced analysts contribute without deep knowledge of complex or proprietary query language?
  • How can search-driven workflows reduce manual steps and rework during investigations?

How Does Exabeam Help You Hunt Threats Using Search?

In New-Scale Fusion, you can use natural language input, guided refinement, advanced queries, and investigation timelines to move from questions to investigation context more efficiently. These workflows help you test hypotheses faster and understand how activity unfolded over time without rebuilding searches.

Get the Guide: Three Practical Ways to Accelerate Threat Hunting Using Natural Language Search

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