Discover insider threats on your network before they take their toll

UEBA Use Case: Insider Attack Identification

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According to the Verizon 2017 DBIS, almost one third on insider threats are end users who have access to sensitive data as a requirement of their role.

Moreover, insider incidents are the hardest to detect, and the majority of these insider misuse cases can take months or even years to discover.

Find out how to root out insider threats more effectively with user and entity behavior analytics that are built on a foundation of machine learning and designed to help you:

  • Build high fidelity entity and user risk profiles
  • Maximize your chances of detecting insider activity
  • Reduce the time to detect and resolve threats
Vendor:
Hewlett Packard Enterprise
Posted:
13 Feb 2018
Published:
13 Feb 2018
Format:
PDF
Length:
5 Page(s)
Type:
Resource
Language:
English
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