Presented by
LogRhythm's Melissa Ruzzi, S Product Owner, Phil Villella, Chief Scientist & Co-founder, Geoff Mattson, VP Product Management
Data Science and Machine Learning in cybersecurity
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 helps security teams stop breaches by turning disconnected data and signals into trustworthy insights. From connecting the dots across diverse log and threat intelligence sources to using sophisticated machine learning that spots suspicious anomalies in network traffic and user behavior, LogRhythm accurately pinpoints cyberthreats and empowers professionals to respond with speed and efficiency.
With cloud-native and self-hosted deployment flexibility, out-of-the-box integrations, and advisory services, LogRhythm makes it easy to realize value quickly and adapt to an ever-evolving threat landscape. Together, LogRhythm and our customers confidently monitor, detect, investigate, and respond to cyberattacks. Learn more at logrhythm.com