Data Science and Machine Learning in cybersecurity

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Presented by

LogRhythm's Melissa Ruzzi, S Product Owner, Phil Villella, Chief Scientist & Co-founder, Geoff Mattson, VP Product Management

About this talk

With the dramatic increase in the number of cyberattacks – and their advanced complexity and sophistication – over the past year, Data Science (DS) and Machine Learning (ML) are currently hot topics in cybersecurity. But applying these new technologies effectively to enhance your security posture is no simple task. The type of data available for the models, the variety of models available, and the nature of the tactics and techniques used by threat actors today requires a combination of both domain and technical (DS and ML) expertise. In this on-demand session, join LogRhythm's Melissa Ruzzi, Senior Product Owner, Phil Villella, Chief Scientist & Co-founder and Geoff Mattson, VP, Product Management, to discover: • The fundamental concepts of DS and ML • Recent cybersecurity trends • A holistic approach to cyber defence • How DS and ML can be applied to cybersecurity and the potential challenges

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LogRhythm’s award-winning NextGen SIEM Platform makes the world safer by protecting organizations, employees, and customers from the latest cyberthreats. It does this by providing a comprehensive platform with the latest security functionality, including security analytics; network detection and response (NDR); user and entity behavior analytics (UEBA); and security orchestration, automation, and response (SOAR). Learn how LogRhythm empowers companies to be security first at logrhythm.com. To learn more, please visit logrhythm.com.