Cui Lin's Blog Posts
Dr. Cui Lin is currently Principle Security Data Scientist at Splunk Machine Learning for Security (SMLS), working as Lead for the Content of Splunk User Behavior Analytics (UBA) . Prior to her current position, she has industrial experience in Broadcom, Hitachi, Microsoft Research and IBM.
She has published 20+ papers/ journals (700+ citations from 20+ counties) and 10+ U.S. patents filed on Data Science, Big Data, and Cloud Computing.
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Onboarding Windows Events to Powershell Threat Detection in UBA
Learn how to enhance PowerShell threat detection in UBA by effectively onboarding Windows events. Our step-by-step guide covers XML event log formats and Splunk integration, ensuring robust security against cyber threats.
Building At-Scale User Behavior Analytics for Splunk UBA: Enhance Performance of Account & Device Exfiltration Models
Splunkers Ania Kacewicz, Cui Lin and Che-Lun Tsao discuss how the scalability performance of Account and Device Exfiltration models can be achieved in UBA V5.4.0.
Elevating Security Intelligence with Splunk UBA's Machine Learning Models
Splunk UBA uses machine learning to detect evolving threats beyond rule-based approaches in SOC operations, tackling overwhelming event volumes.
Building Large-Scale User Behavior Analytics: Data Validation and Model Monitoring
Splunk's Cui Lin explores fundamental techniques to validate data volume and monitor models to understand the size of your own UBA clusters.
Detecting Lateral Movement Using Splunk User Behavior Analytics
The blog is to introduce lateral movement detection using Splunk User Behavior Analytics (UBA)