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Edward Wu

Former Employee - Principal Data Scientist

Edward is a Principal Data Scientist specializing in ExtraHop's hybrid cloud machine learning architecture.

Posts by this author

ExtraHop Cloud-Scale ML: A Deep Dive

April 11, 2023

Read the first in a series of blogs detailing how ExtraHop's cloud-scale machine learning works, and why it makes our network detection and response products the industry leaders in hybrid cloud security.

CybersecurityNTATechRevealX

How the Spring4Shell Zero-Day Vulnerability Works

March 31, 2022

Learn how the Spring4Shell zero-day vulnerability works and how it could be weaponized by attackers.

CybersecurityZero TrustHow-ToSecurity Alerts

Protect Cloud Workloads: 3D Chess as a Model for Cloud Threats

June 22, 2021

Learn how 3D chess can be used as a model for cloud threat behavior so you can better protect cloud workloads.

Cybersecurity

The Tricks of Our Trade: How Reveal(x) Uses Machine Learning

August 25, 2020

Machine learning is not magic, and not all machine learning is created equal. ExtraHop Reveal(x) makes life easier for security teams with ML subsystems for Perception, Detection, and Investigation.

CybersecurityNTATechRevealX

Putting Machine Learning to Work for Enterprise IoT Security

June 2, 2020

Learn why network segmentation isn't feasible for IoT security, and how to detect cyberattacks in IoT service layers with machine learning from ExtraHop.

RevealXCybersecuritySecurity ThreatsTech

Supervised vs. Unsupervised Machine Learning

November 14, 2019

Supervised vs. unsupervised machine learning—which is better for network threat detection? Read this comparison from ExtraHop, the leader in NDR security.

RevealXCybersecurityTechSecurity Threats

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