ABCs of UEBA: G is for Gurucul

Gurucul was developing User and Entity Behavior Analytics technology long before Gartner coined the term “UBA” in 2014 and then updated it to “UEBA” in 2015. You could say – and you’d be right – that Gurucul in… Continue reading ABCs of UEBA: G is for Gurucul

Identify Good UEBA Data with “Feature Analysis”

Gurucul is pleased to share details on our most effective machine learning models. Up next is a critical precursor to any User and Entity Behavior Analytics (UEBA) deployment. Gurucul Machine Learning Model: Feature Analysis How does the Feature Analys… Continue reading Identify Good UEBA Data with “Feature Analysis”

Prevent Fraud with “Rare and Volume Based Analytics”

We are pleased to provide details on our most popular machine learning models. Check out the next in our series of informative blog articles. Gurucul Machine Learning Model: Rare and Volume Based Analytics How does the Rare and Volume Based Analytics m… Continue reading Prevent Fraud with “Rare and Volume Based Analytics”

Stop Fileless Malware with “Abnormal PowerShell Command Execution”

Gurucul’s #MachineLearningMadness blog series continues to deliver details on our most popular machine leaning models. Next up is a critical model for Windows environments. Gurucul Machine Learning Model: Abnormal PowerShell Command Execution How… Continue reading Stop Fileless Malware with “Abnormal PowerShell Command Execution”

Identify Outlier Access with “Clustering and K-Means”

It’s the gift that keeps on giving! Gurucul’s #MachineLearningMadness sessions at Black Hat USA 2018. We continue to roll out the details of the Machine Learning Models that Gurucul Risk Analytics uses to detect and stop insider threats, da… Continue reading Identify Outlier Access with “Clustering and K-Means”