Artikel von Craig Chamberlain


46 days vs. 16 minutes: Detecting emerging threats and reducing dwell time with machine learning

Using ML-based anomaly detection, such as the unsupervised ML jobs in the Elastic stack, we can shrink the dwell time for this malware persistence mechanism from 46 days to less than one day, a decrease by a factor of 1100!


Identifying beaconing malware using Elastic

In this blog, we walk users through identifying beaconing malware in their environment using our beaconing identification framework.


Kombinieren von überwachtem und unüberwachtem Machine Learning für die Erkennung von DGA

In diesem Blogpost geben wir die Veröffentlichung unserer allerersten überwachten ML- und Security-Integration bekannt.