Detect real threats inside your network with behavioral analytics

Compromised User and Host Detection Using Behavioral Analytics

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Attacks involving compromised users and hosts are notoriously difficult to detect because cyber criminals can evade perimeter defenses by using legitimate credentials.

What makes it even harder? Most organizations use security systems that generate excessive false positives, creating an alert white noise problem.

Fortunately, behavioral analytics can help accurately detect and prevent advanced attacks. Learn how to:

  • Create high-fidelity entity risk profiles
  • Shrink the time to detect attacks
  • Accurately identify compromised users and hosts
  • Supplement your existing IDS/IPS and SIEM
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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