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Technology Partners

One pipeline, every stack
Open standards — OpenTelemetry + OpAMP
Praxis Otto — powered by Gemini
40+ sources · 20+ destinations
Part of the Netenrich agentic stack

Where Praxis Pays For Itself

Three ways security teams put Praxis to work.

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

Data Optimization

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

Compliance

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

Insights & Observability

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

Your security data is dying silently in the pipe.

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

Parsing errors

Malformed logs and broken parsers drop events on the floor. No alert. No record. Just a gap in your detections.

▰ LOST

Backpressure

When the collector chokes, queues overflow and data is shed. Dashboards look fine while coverage quietly collapses.

▰ LOST

Network drops

A transient outage between collector and SIEM, and the event you needed for an investigation is gone forever.

Why now

The legacy pipeline is a liability.

Runaway ingest, compliance gaps, and per-GB tooling weren't built for machine-speed security or AI-scale data.

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.

02

Compliance blind spots

PII, PHI, and credentials ride unmasked into your SIEM, creating audit risk under GDPR, DPDP, and other data-residency mandates.

03

Manual everything

Regex by hand. Configs by hand. Pipeline definitions by hand. Every change is a ticket and a chance to break ingestion.

04

Brittle legacy collectors

Aging forwarders and agents are being deprecated across parts of the industry, adding one more migration to an already full plate.

The Netenrich Thesis

Three eras of telemetry.
One destination: autonomy.

The pipeline category has evolved from chaos, to control, to intelligence. Praxis is built for what comes next.

01

Era 1 · The Chaos Era

Direct Ingest

Everything forwarded straight to the SIEM. Runaway costs, unmanageable noise, blind spots everywhere.

02

Era 2 · The Pipeline Era

Routing & Governance

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

Intelligent & Autonomous

Static routing replaced by deep observability, explainable AI filtering, and native context-awareness — on the road to full autonomy.

what sets us apart, today

We refuse to move
data blind.

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.

Black-box routing tools

Move data fast — but the pipeline is a black box. When something breaks, you learn from a missed detection.

Praxis

Move data and see inside it. Live throughput, parser verification, drift, queue health — the glass box.

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Pipeline Observability

Throughput, latency, queue depth, backpressure — per source and destination, in real time.

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Data Insights

Ask Otto in plain language: "How much PII is flowing, and what is it?" Get an answer instantly.

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Verify Before Production

Snapshot raw vs. processed logs side-by-side and confirm parser accuracy before you ship.

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Full-Stack Telemetry

Pipeline health alongside collector CPU, memory, and uptime — one pane of glass.

Two More Reasons Teams Choose Praxis

Your data. Your infrastructure.Your call on who runs it.

Two structural differences most vendors can't match — because their business model depends on the opposite.

▰ ARCHITECTURE

Your data never leaves you.

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

Self-Run, or let us Co-Run it.

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

From intelligent,
to fully autonomous.

Available today

Intelligent Data Pipeline Management

Semi-autonomous. Deep insights and observability, AI-assisted design, and explainable filtering — running in production now.

Available now
Stage 1 · The Foundation

Praxis Standard

For teams starting their optimization journey
  • Visual pipeline design & live throughput
  • Standardization & routing at the edge
  • Durable, no-drop ingestion
  • Full-stack pipeline observability
Intelligent, semi-autonomous.
Book a Demo
Popular
Available now
Stage 2 · AI-Assisted

Praxis Elite

For SOCs running semi-autonomous workflows
  • Everything in Standard, plus:
  • Praxis Otto — AI regex & conversational observability
  • AI-assisted PII / PHI / credential masking
  • Pipeline version control & rollback
  • Sovereign dual-write & compliance packs
The most popular package.
Book a Demo

THE PLATFORM

One control plane.
Total command of your telemetry.

Every capability you need to collect, see, shape, and route security data — without the manual toil.

Visual Pipeline Design

Drag-and-drop canvas with live throughput (Bps) on every edge.

Live Snapshot

Inspect raw vs. processed logs side-by-side. Verify parsers before production.

AI Regex Generation

Paste a log, describe the capture, and Otto writes the parser for you.

AI-Assisted Masking

Auto-identify and redact PII, PHI, and credentials across any stream.

Pipeline Version Control

Git-like state for pipelines — versioned, attributed, diffable, reversible.

Full-Stack Telemetry

Throughput, latency, queue depth, plus collector CPU and memory.

Intelligent Routing

Right data to the right destination — SIEM, lake, or cold storage.

Sovereign Compliance

Dual-write to SIEM and on-prem MinIO for structural data residency.

Powered by Gemini

Meet Praxis Otto.

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

One pipeline. Every ecosystem.

Whatever SIEM and tooling you run, Praxis collects it, sees inside it, and optimizes it. Pick your stack.

Ecosystem

Praxis for Google SecOps

Standardize, route, and observe Google SecOps data from one canvas — with native integration and AI-built parsers.

Ecosystem

Praxis for Splunk

Cut your Splunk bill without losing a byte of signal. Route high-value data to Splunk, tier the rest to low-cost storage.

Ecosystem

Praxis for AWS

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

Everyone moves data.
Only Praxis lets you see inside.

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

Intelligence that doesn't stop at the pipeline.

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.

Praxis

Intelligent Data Pipeline — collect, see, enrich, route

Resolution Intelligence Cloud™

The data & analytics foundation

Agentic SOC

A digital workforce of AI agents

Cyber Risk Operations

Invisible-risk management & continuous defensive efficacy

For the first time, we gained deep, real-time observability into our entire data pipeline — transforming how we filter noise and route critical telemetry.

RR
Richard R. Reynoso
SVP of Managed IT Services, United Data Technologies (UDT)

Optimize the data. Prove the compliance.

See Praxis filter, mask, and route your telemetry live — entirely within
your own environment, Self-Run or Netenrich Co-Run.