Network Detection and Response is the latest trend in network-based cybersecurity. It culminates years of research and software advances to bring together the basic elements of security requirements: Detection & Response, something we’ve been doing for years. NDR is not only beneficial, but necessary for gaining the cyber advantage, but security teams need to know how it’s important in detecting, hunting and responding to their most advanced threats.  

Our COO, Craig Harber, and Data Science Manager, Abhishek Sharma, join us in this podcast to discuss how NDR begins with Detections, and the role of Machine-Learning within NDR.  

Highlighted in this podcast:  

• How machine learning based on anomaly and behavioral detections improves NDR
• What ML does for North/South and East/West traffic
• The future of ML-based detections

Enjoyed this podcast? We’ll be re-joined by our COO, Craig Harber, who will go in-depth about the Response aspect of NDR.