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 Technical Lead Software Engineer
Next Reveal’s approach to ML provides faster baselining, more accurate enforcement, and more rapid time to value. Read More
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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