Cluster Analysis for Comprehensive Threat Detection and Investigation Automation

By SecBI's Co-Founder and CTO, Alex Vaystikh

Cyber attackers are constantly deploying more sophisticated attacks by employing methods that make it harder to detect malicious activities. Cyber professionals responsible for protecting their organizations’ data integrity are in need of new solutions.
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‘Cluster analysis’ teaches a machine to understand a particular domain, including the significance of every data element and how it relates to others.

Cluster analysis machine learning allows behavior that perfectly mirrors a human analyst, piecing together evidence to come to a bigger picture, but at speeds only a machine can accomplish - enabling near real-time detection of malicious activities. Download the white paper to learn:

  1. What is the advantage of using cluster analysis in machine learning?
  2. How does it work if it does not rely on a baseline and anomalies?
  3. What kind of attacks will cluster analysis find that other detection solutions cannot?

Download the white paper
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