Axoflow + Microsoft Sentinel: Reduced, AI‑Ready Security Data
Overview
Security teams struggle with explosive data growth, soaring license costs, and sprawling pipeline architectures. Axoflow collects raw logs and automatically turns them into smart, structured, and immediately actionable events - before you ingest them to Microsoft Sentinel.
Axoflow automatically reduces noise and cuts redundant data from your messages, classifies and enriches it with the proper sourcetype, and dynamically routes it to the relevant Microsoft Sentinel table and stream. Ingest less noise, spend close to zero time with pipeline babysitting, and unlock more value from every security byte.
investigations
Why It’s Great
Clean, Unified Data for Microsoft Sentinel
AxoRouter automatically classifies, normalizes, enriches, and reduces your data in the pipeline, and forwards the events to Sentinel in Unified Data Model (UDM) format, slashing false positives, compute costs, and noise; and speeding up investigations.
Lightning‑Fast Publishing to Sentinel
AxoRouter can transport large amounts of data to Sentinel using encrypted HTTPS connections. Batched message transfer reduces bandwidth and overhead, optimizing data ingestion.
AI‑Ready Analytics in Sentinel
Declarative dynamic routing sends parsed, classified, and enriched records to exactly the right Sentinel table-no manual mapping required.
Flexible Deployment
Run AxoConsole and AxoRouters your way: as a fully managed SaaS or self‑managed in your own Azure cluster.
High performance,
low footprint infrastructure
Axoflow’s components are optimized for performance, and handle enterprise-grade data volumes with low infrastructure costs.
Federated search
Keep security data where it’s cheapest and most useful. Axoflow offers tiered data storage with federated search, and the ability to route or rehydrate only what you need into Sentinel, or the tool of your choice.
Use cases
Elevate Detection & Response with Microsoft Sentinel
- Pre-process logs through AxoRouter to remove noise, standardize fields, and enrich with context. Automatically, out-of-the-box.
- Deliver structured events in real time for higher‑fidelity alerts and faster, more confident investigations.
- Feed SOAR playbooks with well‑labeled events to streamline automated response.
High‑Throughput Delivery to Microsoft Sentinel
- Publish data directly to Sentinel’s HTTP collector, reducing overhead, latency, bandwidth, and message loss.
- Send data in batches to increase throughput.
- Secure and reliable delivery to handle peak loads and network outages.
Feed AI‑Ready Data to Sentinel
- Route data dynamically based on content or metadata, no brittle, hard‑coded logic.
- Store parsed, normalized, classified, and enriched records that power AI, accurate dashboards, and ML models.
- Send only what’s needed to get the best signal from your AI models without the noise.
Migrating to Microsoft Sentinel or Azure Monitor
- Axoflow was built with multi-destination delivery from day one, and is migration-friendly by design.
- The pipeline has full control over the data: you can send the same events to multiple destinations, optimized for each destination individually.
- Mirror the traffic, validate your data in the new destination, then flip the switch.
True integration with Sentinel
Unlike other tools that simply forward your data as-is to Microsoft Sentinel, Axoflow does:
- Classification and parsing
Identifies and parses logs from hundreds of COTS products in real time, enabling effective noise reduction.
- Noise reduction before ingestion
Removes redundant events and duplicate fields so you spend less on ingestion and run queries faster. - Smart field mapping
Normalizes data into structured format that Sentinel can interrogate effectively. - Enriched identity tags
Cloud resource tags, Kubernetes metadata, device IDs, and dynamic labels arrive pre-mapped for filters, SLOs, and drill-down investigations. - HTTP
Using Sentinel’s HTTP endpoint gives you a streamlined, secure, high-throughput ingestion path that simplifies architecture, reduces latency and operational complexity.
Run Axoflow Anywhere on Azure
- Managed Deployment
Let us host AxoConsole for you as SaaS. - Self‑Managed Deployment
Bring the AxoConsole and AxoRouters into your own Azure cluster for full control. - Scale your infrastructure as needed.
Optimize storage and ingestion costs
Axoflow’s storage solutions help you keep your security data where it’s cheapest and most useful:
- Store locally, retain mid-term, and scale to petabytes - then query with federated search across every Axoflow store.
- A decoupled SIEM approach - separating data handling from analytics - gives control and cost leverage while keeping your SIEM valuable.
- Pushing every log to one sink is often impractical and costly: the future looks centrally defined but distributed + federated collection and analysis.
- Prevent data loss during spikes and outages, then rehydrate exactly what’s needed.
- Shift left for data quality so downstream AI/analytics stay fast and accurate.
- Extend retention & control costs by keeping long-tail data out of SIEM ingest.
Get Started in Minutes
Spin Up a Sandbox
Experience a live Axoflow instance on Microsoft Azure with no commitment.
Connect Your Sources
Start sending data from Windows or Linux hosts, cloud connectors, or appliances via syslog, OpenTelemetry, HTTP, and more.
Route & Transform
Create data flows in AxoConsole to send optimized data to Microsoft Sentinel - or to multiple destinations.
Measure the Difference
Watch query speeds climb, false positives drop, and storage costs fall.
FAQs
How does Axoflow integrate with Microsoft Sentinel?
When your data hits AxoRouter, it’s automatically classified using a database continuously refined by our veteran cybersecurity team-augmented with supervised AI. Our purpose-built engine automatically recognizes:
- What data is flowing through (which appliance or application generated the message), and
- Which parts of its content carry security relevance (and what is redundant, so it can be dropped)
- How to normalize the message and structure it in the format used by the target table in Sentinel, which parts of the message should be mapped to which fields, and so on.
How does Axoflow reduce ingestion volume without losing critical data?
Axoflow optimizes ingestion costs by reducing data volume before it ever reaches Microsoft Sentinel - while preserving the fidelity of the security telemetry your analysts rely on. Here’s how it works:
- Parse and normalize in the pipeline > Send only meaningful, well-structured data into Sentinel
Axoflow processes incoming data in the pipeline, classifying and parsing events into structured formats early in the flow. By identifying what fields and values actually matter for detection, correlation, and compliance, Axoflow filters out unnecessary payload elements and redundant metadata. - Smart filtering and field reduction.
Through flexible routing and filtering policies, Axoflow can remove repetitive fields, drop unneeded event types, and normalize vendor-specific formats into Sentinel’s expected format. For example, a firewall log stream can be reduced by 30–50% without losing any detection-relevant information. - Enrich once - not everywhere.
Instead of enriching data repeatedly inside Sentinel, Axoflow performs enrichment upstream - for example, tagging logs with geolocation or asset context as they pass through the pipeline. This ensures enrichment is done once and stored efficiently, keeping indexed data lean and consistent. - Use dynamic routing to control what goes where.
Axoflow allows you to route high-value or high-context events directly into Sentinel while diverting verbose or low-value telemetry to a cheaper storage tier (e.g., object storage, data lake, or SIEM cold storage). That way, Sentinel only receives the data needed for search, detection, and dashboards - without losing the ability to access full-fidelity data later if needed.‍ - Monitor and tune with pipeline metrics.
Axoflow provides detailed metrics on data volume, event types, and transformation stages. You can visualize what’s contributing most to ingestion size and adjust filters or parsers accordingly - ensuring that your Sentinel license is used for the highest-value data.
Does Axoflow support Azure Monitoring?
Yes. Data sent to Azure Monitor's Log Analytics is also available in Microsoft Sentinel.
Resources
Blog
Request a Sandbox
- Hands‑on trial environment to see Axoflow on Azure in action