CLOSING THE SKILLS GAP WITH ANALYTICS AND MACHINE LEARNING


This new report from the SANS Institute explains how security teams can leverage analytics and machine learning to automate many cumbersome threat detection and response activities. By using these technologies, security teams can improve their ability to uncover advanced threats before they disrupt the business and reduce a significant amount of stress.

Written by security operations engineer and penetration tester Ahmed Tantawy, the report explains how to use and integrate analytics and machine learning to reduce the load on security professionals, while increasing visibility and accurately predicting attackers’ next steps. Download the report to…

  • Get a list of six burdensome manual tasks analytics and machine learning can automate, immediately making it easier for analysts to detect threats.
  • Learn six basic requirements of security analytics programs. 
  • Discover the essential elements of a proactive, analytics-driven security intelligence framework.
  • Understand different analytical approaches you can use to improve threat detection and response.





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