01
Runaway ingest costs
You pay your SIEM to store noise — then pay a pipeline vendor more as your data grows. The metric is rigged against you.
Why Netenrich
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Key Resources
Praxis optimizes what you ingest, enforces compliance before it ships, and gives you deep insights and observability into every byte along the way — collect, parse, enrich, route. Other tools just move your data. Praxis shapes it, protects it, and lets you see inside the pipe.
70%
Noise removed at the edge
100%
PII/PHI masked before delivery
100%
Pipeline visibility
Where Praxis Pays For Itself
Data optimization and compliance are where Praxis delivers the fastest, most measurable value — with deep insights and observability built into everything it does.
PRIMARY USE CASE
Filter, dedupe, and trim verbose fields at the edge — routing high-volume, low-value telemetry to cheap storage instead of your SIEM. Example: 10 TB/day of raw endpoint and network logs becomes 3 TB of high-signal detections, with the rest tiered to S3 or GCS.
Up to 70% less ingest, same detection coverage — and you see exactly what's driving the number.
PRIMARY USE CASE
AI-assisted masking auto-redacts PII, PHI, and credentials before ingestion, while dual-write pipelines keep legally mandated raw archives on-prem or in your own cloud storage. Example: structural data residency for GDPR, DPDP, RBI CSF, and SEBI CSCRF — with zero manual regex.
Ask Otto "how much PII is flowing, and what is it?" — get an answer instantly, not after an audit.
CORE VALUE PROP
Live throughput, parser verification, drift, and queue health — for every source and destination, in real time. Example: know within seconds when a broken parser or backpressure spike starts silently dropping events.
Everyone moves data. Only Praxis shows you what's happening to it along the way.
The Blind Spot
Every SOC ships telemetry from source to SIEM and assumes it arrives. It doesn't. Events vanish before anyone notices — and you can't detect what you never received.
▰ LOST
Malformed logs and broken parsers drop events on the floor. No alert. No record. Just a gap in your detections.
▰ LOST
When the collector chokes, queues overflow and data is shed. Dashboards look fine while coverage quietly collapses.
▰ LOST
A transient outage between collector and SIEM, and the event you needed for an investigation is gone forever.
Why now
Runaway ingest, compliance gaps, and per-GB tooling weren't built for machine-speed security or AI-scale data.
01
You pay your SIEM to store noise — then pay a pipeline vendor more as your data grows. The metric is rigged against you.
02
PII, PHI, and credentials ride unmasked into your SIEM, creating audit risk under GDPR, DPDP, and other data-residency mandates.
03
Regex by hand. Configs by hand. Pipeline definitions by hand. Every change is a ticket and a chance to break ingestion.
04
Aging forwarders and agents are being deprecated across parts of the industry, adding one more migration to an already full plate.
The Netenrich Thesis
The pipeline category has evolved from chaos, to control, to intelligence. Praxis is built for what comes next.
01
Era 1 · The Chaos Era
Everything forwarded straight to the SIEM. Runaway costs, unmanageable noise, blind spots everywhere.
02
Era 2 · The Pipeline Era
Tools intercept telemetry mid-flight — cheap storage for benign data, SIEM for the critical. Better, but static and blind.
03
Era 3 · The Praxis Era
↳ Where we lead
Static routing replaced by deep observability, explainable AI filtering, and native context-awareness — on the road to full autonomy.
what sets us apart, today
Everyone can route telemetry. Praxis treats the pipeline itself as critical infrastructure worth monitoring — giving you insights and observability the black-box vendors simply don't.
Move data fast — but the pipeline is a black box. When something breaks, you learn from a missed detection.
Move data and see inside it. Live throughput, parser verification, drift, queue health — the glass box.
Throughput, latency, queue depth, backpressure — per source and destination, in real time.
Ask Otto in plain language: "How much PII is flowing, and what is it?" Get an answer instantly.
Snapshot raw vs. processed logs side-by-side and confirm parser accuracy before you ship.
Pipeline health alongside collector CPU, memory, and uptime — one pane of glass.
Two More Reasons Teams Choose Praxis
Two structural differences most vendors can't match — because their business model depends on the opposite.
▰ ARCHITECTURE
Praxis's architecture ensures no customer data is ever moved to, or stored in, a Praxis-hosted cloud console. Every byte is collected, processed, and routed entirely within your own environment.
Unlike competitors who store your logs in their tool's cloud console
▰ ENGAGEMENT MODEL
Run Praxis yourself with your own team — full control, your pace. Or hand the operating model to Netenrich, and we run and manage the Praxis environment for you.
Self-Run or Co-Run — same platform, your choice
The Autonomy Journey
Intelligent Data Pipeline Management
Semi-autonomous. Deep insights and observability, AI-assisted design, and explainable filtering — running in production now.
THE PLATFORM
Every capability you need to collect, see, shape, and route security data — without the manual toil.
Drag-and-drop canvas with live throughput (Bps) on every edge.
Inspect raw vs. processed logs side-by-side. Verify parsers before production.
Paste a log, describe the capture, and Otto writes the parser for you.
Auto-identify and redact PII, PHI, and credentials across any stream.
Git-like state for pipelines — versioned, attributed, diffable, reversible.
Throughput, latency, queue depth, plus collector CPU and memory.
Right data to the right destination — SIEM, lake, or cold storage.
Dual-write to SIEM and on-prem MinIO for structural data residency.
Powered by Gemini
The AI agent at the heart of the pipeline. Otto generates parsers from sample logs, answers plain-language questions about pipeline health, and connects to MCP — so your team can use their own Claude, Cursor, or assistant of choice.
How much PII is flowing through the pipeline right now?
2.4M events in the last hour contain PII — primarily email and IP. 100% masked before delivery. Here's the breakdown by source.
Write me a parser for this firewall log.
Done. Generated, verified against your snapshot, and ready to publish. Accuracy: 99.7%.
Solutions
Whatever SIEM and tooling you run, Praxis collects it, sees inside it, and optimizes it. Pick your stack.
Ecosystem
Standardize, route, and observe Google SecOps data from one canvas — with native integration and AI-built parsers.
Ecosystem
Cut your Splunk bill without losing a byte of signal. Route high-value data to Splunk, tier the rest to low-cost storage.
Ecosystem
Collect CloudTrail, CloudWatch, VPC, and GuardDuty logs, trim the noise, route security signal to your SIEM, and tier the rest to low-cost S3 — fully observed.
Why Praxis
Data optimization and compliance, backed by deep insights and observability — plus a full agentic SOC stack, run however you want it.
| Capability | Black-box routing tools | Praxis |
|---|---|---|
| Deep day-to-day pipeline insights & observability | Black box | Full ✓ |
| Verify parsers before production (raw vs. processed) | Limited | ✓ |
| AI agent for design & observability | Add-on or none | Otto (Gemini) |
| Works across every SIEM & ecosystem | Varies | ✓ |
| Pricing decoupled from data volume | Per-GB | ✓ |
| Customer data stored in-house, never in a vendor cloud console | Vendor cloud | ✓ Always in-house |
| Flexible engagement — run it yourself or let the vendor run it | Self-serve only | Self-Run or Co-Run |
| Backed by a full agentic SOC stack | ✗ | ✓ Netenrich |
Better together
Praxis is the intelligent front door to the Netenrich agentic stack. Clean, enriched, parser-ready data flows straight into autonomous detection, response, and risk operations.
Intelligent Data Pipeline — collect, see, enrich, route
The data & analytics foundation
A digital workforce of AI agents
Invisible-risk management & continuous defensive efficacy
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For the first time, we gained deep, real-time observability into our entire data pipeline — transforming how we filter noise and route critical telemetry.
See Praxis filter, mask, and route your telemetry live — entirely within
your own environment, Self-Run or Netenrich Co-Run.