Detecting Threats With Machine Learning

As more cyber-attacks dominate our news, Security Operation Centers are under increasing pressure to make sense of millions of security alerts processed every day to stop the attacks before they inflict significant damage.

Detecting Threats With Machine Learning

Speaker: Oliver Pinson-Roxburgh, EMEA Director of Solutions Architecture at Alert Logic
Date: 1st June 2017
Time: 3:00pm UK Time

As more cyber-attacks dominate our news, Security Operation Centers are under increasing pressure to make sense of millions of security alerts processed every day to find that needle in the haystack and stop the attacks before they inflict significant damage. Until recently, the use of Machine Learning and Artificial Intelligence has been discussed as a technology which may transform the security field in the future, but few examples of real world applications exist. Alert Logic will discuss how advancements in Machine Learning are helping human security operators:

  • Identify meaningful real-world incidents from vast amounts of security data
  • Identify security breaches previously unseen by modern Security Operation Centers

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