Stop babysitting security data, start putting it to work

Collect from cloud services, cloud-native (OTel, K8s) or traditional (syslog-ng, WEC) sources, and applications — and instrument the collection infrastructure you already run.

• Zero-Maintenance Connectors: Connectors for switches, firewalls and web gateways — maintained by Axoflow, not by your team.
• Automatic Data Inventory: Identifying sources builds the inventory for you, making rogue data sources easy to spot.
• Carrier-Grade Volumes: Designed for the highest performance expectations — up to 5 TB/day/core throughput.

Axoflow automatically classifies, enriches and optimizes data right at the edge — limiting network overhead and cost, and ending manual pipeline babysitting.

• Automatic classification: Processing starts with automatic data identification by the zero-maintenance connectors.
• Schema translation: Based on the identified source, a series of processing steps is applied automatically to match the destination schema.
• Reduction and enrichment: Drop noise, trim redundant fields and add context before the data ever reaches a paid index.

Smart edge plus full-pipeline visibility routes data by business and compliance policy — through interfaces free of parsers, regexes and technical jargon.

• One route, many destinations: Fan the same source out to a SIEM, an archive and a lake with different levels of detail.
• Compliance-aware: Keep regulated data in region and out of systems that must never see it.
• No parsers or regexes: Routing policy is expressed in business terms, not in pipeline configuration syntax.

A range of storage solutions complement the Platform, making it a Security Data Layer you can build detection on.

• Cost savings: AxoStore buffers log spikes and holds debug logs at the edge, so you pay to keep only what earns its place downstream.
• Data tiering: Set your tiering policy and let AxoLake run it: raw data to cold storage, cleaned actionable data to warm.
• Federated search: Run detections locally where data is produced, or centralize and analyze — query across storage without moving everything.

A detection workbench on top of the Security Data Layer. Run detection content locally — an AI or ML model, a threat intel lookup, or another enrichment — instead of shipping everything to a central system first.

• Detection at the edge: Evaluate content in the pipeline, so alerts land without waiting on a downstream index.
• AI and ML in the flow: Apply models and threat intel lookups to curated data as it moves, not weeks later.
• Federated queries: Query across AxoStore and AxoLake tiers from one workbench, without rehydrating everything.

Visualize the complete edge-to-edge flow of security data: every source, every destination, and its relative contribution to the pipeline.

• Discovery: Sources are classified and inventoried as they appear.
• Visibility: See what is really going on in your logging environment.
• Monitoring: Alerts on health, volume, dropouts, bursts and transport cost.