Posts
6.22.21
Protect Cloud Workloads: 3D Chess as a Model for Cloud Threats
Learn how 3D chess can be used as a model for cloud threat behavior so you can better protect cloud workloads.
Edward Wu
11.20.20
The Tricks of Our Trade: How Reveal(x) Uses Machine Learning
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.
Edward Wu
6.3.20
Putting Machine Learning to Work for Enterprise IoT Security
Learn why network segmentation isn't feasible for IoT security, and how to detect cyberattacks in IoT service layers with machine learning from ExtraHop Reveal(x).
Edward Wu
11.14.19
Supervised vs. Unsupervised Machine Learning
Supervised vs. unsupervised machine learning: which is better for network threat detection, or is the answer more complex than you think? Read the blog to find out.
Edward Wu
7.24.19
ExtraHop Cloud-Scale ML: A Deep Dive
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.
Edward Wu