4 Challenges of Using Anonymous User Data for UEBA

This article has been indexed from

DZone Security Zone

User and entity behavior analytics (UEBA) tools support a cybersecurity strategy by looking for anomalies. These tools establish a baseline usage for users, devices, and networks, then flag cybersecurity teams about significant deviations from those norms. People are highly interested in how user behavior analytics could cut cyberattack risks. One market analysis showed that the UEBA sector was worth $1.2 billion in 2022. However, researchers believe it will get to $4.2 billion by 2026.

However, the push towards anonymizing user data for the sake of privacy could hinder that growth. User and entity behavior analytics work best when decision-makers at the companies using the technology can narrow down potential problems. Anonymous UEBA data would limit the trends it’s possible to pinpoint. Here’s a closer look at why anonymized information is not a good fit for UEBA platforms.

Read the original article: