Blog

In August 2024, ASD's ACSC and 14 partner agencies from eight other countries published a shared logging baseline. Here's what the advisory's four pillars actually require - and how Axoflow's autonomous security data layer meets them.

IBM QRadar's proprietary DSMs, QID taxonomy, and appliance-centric collection make an exit far riskier than a lift-and-shift. Here's how to decouple your security data layer first and turn a multi-quarter gamble into a controlled, staged cutover.

Splunk migrations are triggered by ingest-cost economics, not query language. This playbook covers why Splunk configs resist clean migration and how decoupling ingestion from the SIEM de-risks the cutover.

SANS 2026: 80% of detection teams can barely keep pace. Faster rule-writing won't help, a stable data layer will. See how to run Sigma in-stream, before the SIEM

We gave a security agent raw, unnormalized vendor logs and asked it to triage a real attack scenario. Nine runs, zero correct. Here's why raw logs break AI triage — and what changes once the data is normalized and enriched.

Teams stall not from lack of data, but lack of alignment. See how rethinking data flow removes silos and gives every team the visibility it needs.

Looking for an SC4S alternative? Axoflow routes, classifies, and normalizes syslog data to any SIEM — cutting SIEM costs 40–70% and ending Splunk lock-in.

Claude, GPT, and Gemini follow different data rules via consumer apps, APIs, and cloud resellers. A 2026 privacy map of training and retention terms.

AxoSyslog vs syslog-ng, one year on: 17 releases to 5. Compare the 2025–2026 feature additions, FilterX advances, and release cadence of both syslog projects.