An MRI for the Cloud: Network Data for Cloud Visibility, Detection & IR – Edward Wu – ESW #293
Cloud computing’s velocity and dynamism make it hard for security teams to monitor and protect workloads in the cloud without impeding the agility of dev teams. ExtraHop Senior Principal Data Scientist Edward Wu joins ESW to discuss practical deployment approaches and scenarios to facilitate gathering and utilizing network data in cloud environments for improved visibility, detection, and response capabilities.
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Guest
Edward is an AI/ML tech leader and has built and commercialized cutting-edge AI products end-to-end from scratch. He is also an expert in applied AI/ML for cybersecurity and next-gen cyber defense, including behavioral attack detection, automated security operation, network/application monitoring, and cloud workload security. Edward holds over 30 patents in ML and cybersecurity and is a contributor to the MITRE ATT&CK framework. He previously worked on attack detection using wire data at ExtraHop Networks, and automated binary analysis and software defenses at University of Washington Seattle and UC Berkeley.
