> CrowdStrike > CrowdStrike Threat Graph™: Stopping Breaches with Graph Data Models and Analytics

CrowdStrike Threat Graph™: Stopping Breaches with Graph Data Models and Analytics

Published By: CrowdStrike
CrowdStrike
Published:  Feb 01, 2017
Length:  17 pages

One of the biggest challenges to effectively stopping breaches lies in sifting through vast amounts of data to find the subtle clues that indicate an attack is imminent or underway. As modern computer systems generate billions of events daily, the amount of data to analyze can reach petabytes. Compounding the problem, the data is often unstructured, discrete and disconnected. As a result, organizations struggle to determine how individual events may be connected to signal an impending attack.

Download the white paper to learn:

  • How to detect known and unknown threats by applying high-volume graph-based technology, similar to the ones developed by Facebook and Google
  • How CrowdStrike solved this challenge by building its own proprietary graph data model
  • How CrowdStrike Threat Graph™ collects and analyzes massive volumes of security-related data to stop breaches



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