4 Challenges of Using Anonymous User Data for UEBA

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.

How To Accelerate API Integration with Behavioral Emails and Developer Segmentation

Behavioral email is the keystone of user-centric platform integration — emails to developers are most effective when they’re based on how they used your platform. Not surprisingly, the concept of segmenting your customers into groups of similar behaviors or attitudes is a well established best practice in marketing.

MarketSherpa’s survey found that one of the most effective marketing strategies is to send emails based on the behavior of your customers. Familiar examples in the B2C world include, notification that a service was signed up for but registration wasn’t completed, receipt of collateral after a form submission, and invitation to check out after a shopping cart was abandoned.