Know the Environment Better Than Devs, how network data can power visibility, detection, and response programs for securing cloud workloads
2022-06-18, 16:30–16:55, Track 2 (Moody Rm 101)

In this talk, we explore how network data can be utilized to secure cloud workloads. We will walk through practical deployment approaches and scenarios for gathering and utilizing network data in cloud environments. We will also show concrete examples of how data plane visibility gained from network data can materially improve the visibility, detection, and response capabilities of security teams responsible for cloud workloads.

Edward Wu is a Senior Principal Data Scientist (AI/ML and Detection Lead) at ExtraHop Networks, responsible for researching and developing AI/ML capabilities and infrastructure. He is an expert in applied AI/ML for cybersecurity and next-gen cyber defense, including behavioral intrusion detection, automated security operation, network/application monitoring, and cloud workload security. Edward holds 10+ patents in ML and cybersecurity and is a contributor to the MITRE ATT&CK framework. He received his master's degree in Computer Science & Engineering from the University of Washington, Seattle, and a bachelor of science in Electrical Engineering & Computer Science from the University of California, Berkeley.