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Exabeam Expands Behavior Intelligence to Secure the Agentic Enterprise — Read the News

Exabeam vs. CrowdStrike: Five Ways to Compare and Evaluate

Guide

A framework for evaluating security operations platforms based on detection, investigation, and cost outcomes

This guide compares Exabeam and CrowdStrike across five capability areas to help evaluate how each approach impacts detection, investigation, and total cost of ownership.

CrowdStrike is a strong endpoint security platform, but extending Falcon into SIEM often introduces gaps in behavioral analytics, investigation workflows, and cost predictability. As environments grow, security teams must analyze fragmented signals across logs, endpoints, and identities to understand risk and move investigations forward.

Learn a structured way to evaluate how different approaches affect detection, investigation, and response. See how behavioral analytics and AI agents improve visibility across users, devices, and AI agents while reducing manual effort.

Key Questions This Guide Helps You Answer

  • How does extending endpoint telemetry into SIEM affect detection coverage and investigation workflows?
  • Why does behavioral analytics improve detection of credential misuse and lateral movement?
  • What is the role of AI agents in accelerating investigation and reducing analyst workload?
  • How do unified investigation models change how analysts understand risk?
  • How can you evaluate total cost of ownership as data volume, integrations, and workflows scale?

How Does Exabeam Improve Security Operations Compared to CrowdStrike?

New-Scale Fusion applies Behavior Intelligence to detect risk across users, devices, and AI agents. Automated timelines assemble related activity into a single investigation sequence so analysts can understand how attacks evolve without correlating events manually.

Exabeam Nova uses a coordinated system of AI agents to support detection, investigation, and response workflows. Analysts can search, analyze, prioritize, and create detection logic using natural language, with outputs aligned to a Common Information Model. This approach reduces manual effort and improves investigation consistency as environments scale.

Download the guide to evaluate your security operations strategy and identify next steps.

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