Protecting the Under-Secured With Bad Behavior
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 postRelated:Listen to: Afternoon Cyber Tea with Ann JohnsonListen to: Security Unlocked: CISO Series with Bret Arsenault Discover and follow other Microsoft podcasts at microsoft.com/podcastsSecurity Unlocked is produced by Microsoft and distributed as part of The CyberWire Network. Hosted on Acast. See acast.com/privacy for more information.