In this episode, hosts Nic Fillingham and Natalia Godyla speak with Hardik Suri of the Microsoft Defender ATP Research Team about using behavior-based detection and machine learning to block attacks against Exchange servers, and why it's so critical to patch and enable security capabilities.   Then they speak to Dr. Karen Lavi, a Senior Data Science Lead in the Microsoft Defender Research Team, on the neuroscience of threat detection, and how her team is using AI and machine learning to predict and prevent malware attacks.  In This Episode, You Will Learn:   Why Exchange servers are so vulnerable  The best way to defend against web shells  The simple things security professionals can do to protect under-protected servers  How neuroscience factors into threat detection  How to catch 'patient zero' in an attack  Some Questions We Ask:   How are techniques for detecting and blocking attacks evolving?   What's next for behavior-based blocking?   How does machine learning benefit security?   How do you build a diverse team to catch threats?   What's the next innovation in security research?   Resources: Microsoft Security Blog  Hardik's blog post Related: Listen to: Afternoon Cyber Tea with Ann Johnson Listen to: Security Unlocked: CISO Series with Bret Arsenault  Security Unlocked is produced by Microsoft and distributed as part of The CyberWire Network. 

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