PatternEx for Lateral Movement Detection

With the proliferation of user credentials available for sale on the darkweb, impersonation of legitimate users has become a common way for attackers to move undetected inside the network. Lateral movement can take many forms and can be difficult to differentiate from legitimate traffic. Using rules-based approaches, tracking the attacker as they attempt to access valuable data such as personal information, payment information, or intellectual property is nearly impossible. These stolen credentials can be used to access directory services and create additional user accounts in order to maintain access to the systems. 

Get a demo to learn how PatternEx:

  • Watches for outlier activity patterns
  • Uses labels and classifications from security analysts as feedback to learn and get smarter
  • Proactively creates new data data models
  • Performs retrospective data analysis as each new lable is added looking for suspicious activity 

Watch the on-demand webinar to learn more.

What AI Goes Sideways: Detecting Lateral Movement 
When: On-Demand
Featured SpeakerAdrian Sarno, D
ata Scientist, PatternEx


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