Blog Entries

12. 08. 2024 Davide Sbetti AI, Artificial Intelligence, Log-SIEM, Machine Learning, NetEye

Bring Your Own Model – Using Custom Models in Elasticsearch

Hey everyone! As you may remember, we took a look in the past at how it’s possible to use a model (trained directly in Elasticsearch) to perform some real time classification by using an ingest pipeline. But… what if we wanted to use our own externally trained model? Well the good news is that, under…

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02. 11. 2021 Giovanni Davide Saccá NetEye, Unified Monitoring

nBox to NetEye Elastic Module

A customer asked me to analyze their network flows, with a solution oriented towards using an nBox that collects NetFlow data from a router located away from the branch office, takes it in for analysis, and then sends it to a NetEye Elastic module, which act as an analysis console for that NetFlow data. The…

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10. 05. 2021 Tobias Goller Log-SIEM, NetEye

Installing Elastiflow on NetEye SIEM

First of all, I’d like to explain in simple terms what Elastiflow is all about. ElastiFlow is a NetFlow analyzer that works with the Elastic Stack. The Elastiflow Analyzer can collect various network flows, such as netflow or sflow, and write them to Elastic, taking into account the ECS format. In addition, the Elastiflow Analyzer…

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08. 09. 2020 Alessandro Valentini Log-SIEM, NetEye

Sigma Rules in NetEye SIEM

In order to protect your business against cyber attacks you need to both harden your systems and promptly detect suspicious activities in your infrastructure. Sigma is an open source project which defines specifications for a standard signature format that allows you to describe relevant log events for security purposes. The Sigma rules language is intended…

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06. 08. 2020 Mirko Bez Log Management

Firewall Log Collection: An Elastic Stack Performance Tuning Fairy Tale

In this blog post I will describe my experience with ingesting logs from a Fortinet firewall at a customer site. During this process I exploited the brand new Filebeat 7.8.0 Fortinet module. In particular, I will describe how I went from 3K events per second (eps) to 32K eps, more than a 10x improvement.

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