Data Science for Security
On this week's episode of The Microsoft Threat Intelligence Podcast, Sherrod DeGrippo is joined by Emily Yale and Anna Bertiger. The discussion delves into Emily and Anna's daily activities within the security domain. Emily highlights her role in supporting Microsoft's internal Security Operations Center by building detections for potential threats. Anna emphasizes the practical application of research in solving security problems and focuses on anomaly detection in post-breach security. Emily and Anna provide insights into Microsoft's work culture, the intersection of technology and security, the importance of mathematical and data science skills in tech roles, and the practical applications of AI tools in professional and personal contexts.
In this episode you’ll learn:
- How data scientists support the internal SOC and enhance security
- The importance of anomaly detection in post-breach security
- Combining security with mathematical skills to create practical solutions
Some questions we ask:
- What types of unusual patterns indicate malicious activity?
- Is there difficulty in securing AI models compared to traditional code?
- Should data science methods be used over complex models?
Resources:
View Anna Bertiger on LinkedIn
View Sherrod DeGrippo on LinkedIn
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The Microsoft Threat Intelligence Podcast is produced by Microsoft and distributed as part of N2K media network.
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