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Long-Term Log Storage Without SIEM Costs: The Axoflow Storage Layer
Store security logs long-term without SIEM costs or vendor lock-in. See how the Axoflow Storage Layer uses open Parquet files on object storage you control.
The Data Floor Sets the AI Ceiling
AI SOC performance is capped by telemetry quality. Learn why vendor-owned normalization, not brittle rule maintenance, sets your AI ceiling.
10x search improvement? Optimize Splunk fields with Axoflow
Indexed fields can make Splunk searches up to 10x faster. See how Axoflow sends payload- and externally-derived metadata to Splunk efficiently.
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Getting Data into XSIAM the Right Way: A Deep Dive with Axoflow
How Axoflow solves the Getting Data In problem for Cortex XSIAM: automated LEEF formatting, XDM normalization, and clean, ready-to-use security data.
How to Cut SIEM Costs 30- 85% Without Losing Detection Coverage
Cut SIEM costs 30-85% without losing detection coverage. Why sampling, index-time filtering, and tiering fall short, and how pipeline-first filtering wins.
When Your Parser Breaks: Schema Drift and Detection Gaps That Sneak Up On You
Schema drift silently breaks parsers and creates detection gaps. Learn how pipeline-layer validation catches drift before your SIEM does.
Security Data Pipelines: What Analysts, Customers, and Prospects Are Saying About Security Data Needs
From SIEM cost control to AI-ready data, security telemetry pipelines are emerging as a critical layer for managing security data at scale.
The Stack We Built One Problem at a Time
Struggling with pipeline sprawl? Discover how Axoflow brings visibility, control, and consolidation to complex data pipelines—without risky rip-and-replace.
The End of the Monolithic SIEM: Why Decoupled Security Architectures Are Growing In Popularity
Monolithic SIEMs are failing under cloud scale and rising costs. Why decoupled security architectures and pipelines replace ingest-everything models.
How’s that AI copilot working out for you?
AI copilots make manual work faster but still need babysitting. How an autonomous security data layer removes the manual work while you keep control.
Government Organization Cuts Infrastructure by 85% (and Simplifies Its Migration to Google SecOps with Axoflow)
A government organization cut infrastructure by 85% and log volume by 40% with Axoflow's security data pipeline during its Google SecOps migration.
When Trusted Tools Reach Their Limits: The Evolution of Log Pipelines
syslog-ng was the right choice for years, but modern log pipelines demand more than stability. Why log infrastructure needs to evolve, and where to go next.
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