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Data Science for Security

Microsoft Threat Intelligence Podcast

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Exploring the Intersection of Data Science and Security

The chapter explores how data science techniques are applied in the field of security, emphasizing the process of building generalized detection ideas instead of static rules. It discusses the challenges of anomaly detection, emphasizing the need to combine security expertise with data science and machine learning for effective results. The conversation also covers the utilization of AI tools in security work, showcasing the integration of mathematical analysis with security measures.

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