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Simplifying Endpoint Security with Machine Learning - Outsourcing the Policy Grind

During this Next Fireside Chat, Troy Gabel, Chief Revenue Officer, sits down with Software Engineer Alan Brown to talk about machine learning and how we use it to illuminate anomalous behavior on the endpoint, policy-free.

Join our team for a fireside chat:

Troy Gabel is Next’s Chief Revenue Officer.  He is responsible for driving the company’s worldwide sales and business development to accelerate customer adoption of Data Loss Protection (DLP) that works.

Troy Gabel
Chief Revenue Officer

Alan has worked in software engineering for 14 years. He currently leads the Reveal Agent endpoint software team, helping the team build this part of the Reveal solution as robust, performant software with excellent observability capabilities.
Alan Brown Next DLP Headshot

Alan Brown
Technical Lead Software Engineer

Next Reveal’s approach to ML provides faster baselining, more accurate enforcement, and more rapid time to value.
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How Machine Learning Makes DLP Better

How Machine Learning Makes DLP Better

Watch this Webinar to Learn:

  • What Machine Learning actually is - and what it isn’t
  • Use cases for Machine Learning at the endpoint for the company and for the user
  • Types of behaviors to look for to pinpoint activities outside of the ordinary
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