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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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$7M to improve security data quality
Axoflow will use its $7 million seed funding to make security data easy-to-handle everywhere: during collection, routing, and in the SIEM.
OpenTelemetry Collector persistence and retry mechanisms under the hood
Learn how OpenTelemetry Collector's persistence mechanism reliably handles events like collector restarts or downstream unavailability, preventing telemetry data loss.
Top 4 tricks to reduce SIEM data volume
Top 4 tricks to get started with reducing security data volume
Build a community, not a team
Building a community is no small feat, and I’m grateful to have incredible colleagues in the Axoflow Team. Here is a quick recap about what we do together when we're not working.
Security Data Pipeline Management
Learn how security data pipeline management tools like Axoflow improve data quality, cut SIEM costs, and boost security team efficiency.
Sending log data to ClickHouse with AxoSyslog
How to send logs to a ClickHouse SQL database using AxoSyslog, a syslog-ng replacement
First 6 months of AxoSyslog, our syslog-ng fork
Activity report of the first six months of AxoSyslog, the binary-compatible syslog-ng fork.
ClickHouse support and FilterX updates in AxoSyslog 4.9
AxoSyslog 4.9 highlights: ClickHouse destination, gRPC improvements, new FilterX features, and bug fixes for the AxoSyslog and the syslog-ng projects.
Axoflow deployment scenarios
Discover the flexible deployment modes of Axoflow, and learn how you can streamline SIEM data management, reduce costs by 50%, and improve data quality.
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