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A recent comparison of the seven leading Security Data Pipeline Platforms does a reasonable job of mapping the consolidation wave — three acquisitions, $3.8 billion, twelve months. But it leaves out two criteria that change the answer for most enterprise security teams evaluating this category in 2026-2027.

How Federal Agencies can meet the requirements of the OMB M-26-14 logging mandate, and how Axoflow can help them to get there fast and in a cost-effective way

AI-ready security starts with telemetry your team can trust. Learn why vendor-owned normalization, not brittle rule maintenance, sets the ceiling for AI SOC performance.

Detection rules fail silently when parsers miss schema changes. Learn how autonomous classification keeps your fields where your detections expect them.

Most enterprise security data was never designed to be machine-readable in the way that AI-driven platforms require. It was designed to be ingested into a SIEM and queried by analysts who knew how to navigate its quirks. That worked well enough in a world where humans were doing the reasoning. In an AI-native SOC, those quirks become critical defects.

Discover how Axoflow's security data pipeline solves the "Getting Data In" problem for Cortex XSIAM — automating LEEF formatting, XDM normalization, and user rule creation so your security data lands clean, structured, and ready to act on.

From SIEM cost control to AI-ready data, security telemetry pipelines are emerging as a critical layer for managing security data at scale.

Struggling with pipeline sprawl? Discover how Axoflow brings visibility, control, and consolidation to complex data pipelines—without risky rip-and-replace.

Monolithic SIEMs are failing under cloud scale and rising data costs. Discover why decoupled security architectures and data pipelines are replacing ingest-everything models, improving visibility, reducing noise, enabling AI-driven detection, for SOC use.

AI copilots help you do manual work faster, but still require you to review and oversee their suggestions. Autonomous solutions relieve you from the manual work, while allowing you to keep control. Learn how Autonomous Security Data Layer reforms your security data pipeline.

A government organization reduced infrastructure by 85% and cut log volume by 40% using Axoflow’s security data pipeline management platform during its Google SecOps migration.

syslog-ng earned its reputation as a trusted tool, and for many teams, it was the right choice for years. But the demands on log pipelines today require more than stability alone: modern log infrastructure needs to evolve.

What’s new in AxoSyslog versions 4.18–4.22: FilterX enhancements, improved ClickHouse and S3 outputs, OTLP keep-alive support, and smarter worker autoscaling for high-performance log pipelines.

syslog-ng creator Balázs Scheidler explains the hidden costs of SIEM storage, how to avoid vendor lock-in, and why manual log parsing is a 20-year-old waste of resources.

Sending indexed fields can make your Splunk instance run far more efficiently. This post shows how easily you can send payload- and externally-derived metadata to Splunk with Axoflow.

Security Data Pipeline report highlights the importance of pipelines that deliver cost efficiency, improved data quality, faster investigations, cleaner enrichment, better telemetry reliability for your SOC teams.

Anton Chuvakin and Tim Peacock interview Balázs Scheidler (Axoflow CEO and syslog-ng founder) about the industry’s move from centralization to data access. They discuss why poor data quality weakens SIEM value, how modern pipelines normalize and enrich data so it is ready for immediate use, and meet data quality requirements.

Learn how a leading U.S. healthcare company used Axoflow to gain log observability, improve syslog-ng monitoring, and cut data costs by 30% in days.

Splunk .conf2025 experiences, and the increasing importance of the security data pipeline

Learn why many security data pipeline vendors fail to provide real value despite claiming to support dozens of destinations, and how real integrations bring faster investigations, lower bills, and better data for your SOC teams.

Discover what’s new in AxoSyslog 4.13–4.17, from advanced log formatting and smarter parsing to cloud integration and performance tuning. Build faster, more reliable log pipelines with the latest features.

Overwhelmed by security data? Learn why CISOs and SOC teams are rethinking SIEM pipelines. Discover how intelligent data pipelines cut costs, improve log quality, eliminate blind spots, and empower security operations with automation and AI.

Explore key findings from Splunk’s 2025 State of Security report on SOC inefficiencies, poor data quality, and alert overload — and learn how Axoflow’s automated data pipeline can help streamline security operations.

Learn how to optimize firewall logs before they hit your SIEM using Axoflow's AxoRouter—improve data quality, reduce ingestion costs, and eliminate noisy, unstructured messages.

Learn how to monitor your syslog-ng™ or AxoSyslog deployment by exporting metrics into Prometheus using axosyslog-metrics-exporter. Boost observability and diagnose issues quickly.

Redundant log delivery is the hidden cost of redundancy in security pipelines. Learn how to identify and prevent it before it distorts analytics and increases your SIEM bill.

Still stuck managing your telemetry pipelines instead of your data? Discover why real automation means no more manual parser fixes or AI babysitting. Learn how Axoflow delivers detection-ready data—fully automated.

See how you can be a hero by connecting machines and logging data to your analytics tool of choice in 12 minutes or less using the Axoflow Platform.

Axoflow does automatic parsing and labeling, so you can route your data using static and dynamic labels, instead of static, low-level rules.

Optimize SIEM data ingestion with automated classification. Improve accuracy, reduce costs, and eliminate log chaos. Learn how Axoflow can help!

Many things can go wrong in data ingestion; chances are high that data is ingested incorrectly, causing security operations and forensics investigations to miss these events. Most organizations don’t have monitoring and controls to notice if something changes or goes wrong. Axoflow helps you avoid these problems by automatically detecting and handling multiple protocols and message formats and by alerting you on problems that it cannot handle automatically.

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 get started with reducing security data volume

Learn how security data pipeline management tools like Axoflow improve data quality, cut SIEM costs, and boost security team efficiency.

Discover the flexible deployment modes of Axoflow, and learn how you can streamline SIEM data management, reduce costs by 50%, and improve data quality.

Collecting data reliably is one thing—understanding their origin is another challenge. Without reliable host attribution, vital context is lost, leaving security teams blind in critical moments. Axoflow's built-in inventory solution enriches your security data with critical metadata (like the origin host) so you can pinpoint the exact source of every data entry, enabling precise routing and more informed security decisions.

Most network appliances send improperly formatted log messages. AxoRouter automatically identifies your log sources, and fixes common errors in the incoming data, correcting missing hostnames, invalid timestamps, formatting errors, and so on. Don't spend time creating and maintaining rules or trying to fix processing bottlenecks.

Meet the Axoflow Platform, an end-to-end data pipeline management solution that helps converge GRC and cyber security initiatives