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How high-quality data saves you $$$$
Discover how high-quality security data can dramatically cut SIEM costs, improve detection accuracy, and enhance SOC efficiency. Learn real-world strategies and a customer success story that saved 50% on SIEM spend.


Top 4 tricks to reduce SIEM data volume
Top 4 tricks to get started with reducing security data volume


Security Data Pipeline Management
Learn how security data pipeline management tools like Axoflow improve data quality, cut SIEM costs, and boost security team efficiency.
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Welcome to Axoflow!
Logs have been my passion for over two decades now. As a 3rd-year university student, I started an Open Source project to fix the “syslogd” problem. syslogd was the standard solution at that time to collect, deliver and aggregate system and device logs. The new project was named “syslog, the next generation” or syslog-ng for short. Well, 25 years on and we are now launching Axoflow – where we are bringing to market a long-overdue capability for the burgeoning Observability space that we anticipate will have similar impact!


The role of Open Source in the Observability Supply Chain
Open source tools have been used to implement data collection to feed SIEM and other security systems for decades. We at Axoflow feel that these existing deployments of open source technologies play an important role in the future data supply chains as well.


What is Message Classification and Why is it so Important?
Log data as collected from operating systems, appliances, and applications is extremely unstructured. You can't imagine how much so. Unless you are an analyst working with logs or you have a past where you were "grepping" data in log files, you are probably not aware of the infinite variety of formats and lack of standardization. If this is the case, you likely have a less-than-complete understanding of the story logs can tell – be it security incidents, IT operations irregularities, and a myriad of other business insights.
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