Cyber Use Case

Cyber Anomalies in Real-Time


With increasing number of cyber threats most of the cyber security team doesn't have the capacity to manually detect, monitor, and defend against all. Effective cyber threat management requires leveraging automation to inform decisions.

OwlDQ framework, provides organizations the ability to load and process diverse security data feeds at scale in order to detect following data anomalies.

  • IP address Validation
  • Detect the unusual network traffic patterns based on locations
  • Identify the suspicious packets based on size
  • Detect the malicious activity based on source and destination IP addresses

"With OwlDQ, in real-time we are able provide the alerts on network traffic anomalies which helps our network admins to do further deep analysis and take preventative measure which is daunting task with huge amount of data."

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