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Machine learning in cybersecurity: One size doesn't fit all

Machine learning (ML) is one of today's "must-have" cybersecurity technologies, but is it really able to address every challenge equally? Solving real problems is more important than buying the "best" technology, and you don't need to be a data scientist to figure out the most critical problems that you need to solve. You simply need to understand that different types of ML solve different problems and ask the right questions to determine the right tool for the job at hand.

Join Mario Daigle, VP of Product for Interset, a Micro Focus company, to discuss two main categories of machine learning—supervised and unsupervised—and how they can be applied practically in the context of solving cybersecurity problems.
Recorded Jun 3 2019 48 mins
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Presented by
Mario Daigle, VP of Product for Interset (a Micro Focus company)
Presentation preview: Machine learning in cybersecurity: One size doesn't fit all

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Leading Security, Risk and Governance Platform
With the industry’s broadest set of integrated Security, Risk, and Governance solutions, combined with deep domain expertise and industry-leading analytics, Micro Focus is uniquely suited to help organizations take a holistic approach to protecting identities, apps, and data. Very few vendors can assure security and governance professionals that they are protecting against breaches, guarding the privacy of individuals and their data, and complying with regulatory and jurisdictional regulations – at scale, with ease, insight and confidence. Visit Micro Focus Security, Risk, & Governance at: https://www.microfocus.com/en-us/trend/security-risk-governance.

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  • Title: Machine learning in cybersecurity: One size doesn't fit all
  • Live at: Jun 3 2019 5:00 pm
  • Presented by: Mario Daigle, VP of Product for Interset (a Micro Focus company)
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