Ahead of RSA – Threat Detection Algorithms Make Big Data into Better Data

Advanced persistent threat (APT) detection and analysis are instrumental in identifying cyber attacks that evade perimeter security and spread inside networks. But the Big Data collected often lacks actionable, real-time information about attack behaviors, infected hosts, and the impact an active threat may have on critical business assets.















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Duration: 60 minutes

Speakers
  • David Monahan, Research Directo, EMA
  • Wade Williamson, Director of Product Marketing, Vectra Networks

The problem is Big Data itself – it’s raw and requires intense human analysis to extract anything meaningful. And unfortunately, Big Data products like SIEMs and log managers collect security data from various sources that failed to detect an attack in the first place. As a result, security teams waste precious time.

Join David Monahan, research director at leading IT analyst firm Enterprise Management Associates (EMA), and Wade Williamson, director of product marketing at Vectra Networks, for this insightful webinar that explains how threat detection algorithms can replace your Big Data with better data.

Attend to learn how algorithms can improve incident response, reduce risk and improve ROI.





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