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 Emily Yale on LinkedIn  

View Anna Bertiger on LinkedIn  

View Sherrod DeGrippo on LinkedIn  

Related Microsoft Podcasts:                   

• Afternoon Cyber Tea with Ann Johnson 
• The BlueHat Podcast 
• Uncovering Hidden Risks     

Discover and follow other Microsoft podcasts at microsoft.com/podcasts  

Get the latest threat intelligence insights and guidance at Microsoft Security Insider

The Microsoft Threat Intelligence Podcast is produced by Microsoft and distributed as part of N2K media network.