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Native to the Google Ecosystem
AI-assisted PII/PHI masking
One canvas — source to destination
Data Processing Pipeline support
Praxis Otto on Gemini

The Challenge

Google SecOps charges for volume. Compliance charges for mistakes.

Raw, unfiltered telemetry inflates your Google SecOps bill while sensitive data rides along unmasked — a two-front problem most pipelines just ignore.

▰ COST

Runaway Google SecOps ingest

Raw, unfiltered telemetry inflates ingest and drowns analysts in noise — without a way to trim it intelligently at the edge.

▰ RISK

Compliance exposure

PII, PHI, and credentials ride unmasked into Google SecOps, creating audit risk under GDPR, DPDP, and SEBI CSCRF mandates.

▰ FRICTION

Manual pipeline config

Hand-editing pipeline definitions in the console or wrestling with raw APIs slows every change and invites errors.

The Praxis Solution

From raw and risky, to optimized and audit-ready.

Praxis filters, masks, and standardizes every stream inside one unified canvas — before it ever reaches Google SecOps.

Before · RAW PIPELINE

  • 30+ sources, unfiltered
  • Manual console / API config
  • PII & PHI ride in unmasked
  • Google SecOps — bloated, exposed

After · Praxis

  • One canvas, every source
  • Otto filters, masks & standardizes
  • PII/PHI redacted before ingest
  • Google SecOps — lean, audit-ready

Use Cases

Three ways Praxis pays for itself in Google SecOps.

USE CASE 01

Data Optimization

Filter, dedupe, and trim verbose fields at the edge — routing high-volume, low-value telemetry to Google Cloud Storage instead of your SIEM. Example: 10 TB/day of raw Windows Event Logs becomes 3 TB of high-signal detections in Google SecOps, with the rest tiered to GCS.

Everyone routes data. Only Praxis shows you exactly what's driving your ingest bill, in real time.

USE CASE 02

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 GCS. Example: structural data residency for GDPR, DPDP, RBI CSF, and SEBI CSCRF — without a single manual regex.

Ask Otto "how much PII is flowing, and what is it?" — get an answer instantly, not after an audit.

USE CASE 03

Unified Pipeline Management

One rich, unified UX to design and manage the Google SecOps data processing pipeline — at source, processor, and destination. Import what you already run, edit visually, publish back.

Otto designs your pipeline. No console hand-editing, no raw API calls, no tickets.

BUILT FOR GOOGLE SECOPS

Google SecOps-native capabilities.

SecOps Standardization

Assigns correct log_type, namespace, and ingestion labels so data lands parser-ready.

Native Ingestion

gRPC / HTTPS delivery with durable, disk-backed retry and backpressure handling — no drops.

Unified Pipeline Canvas

Design and manage Google SecOps DPPs visually — filter, transform, and redact, all from one screen.

AI Regex via Otto

Paste a log, describe the capture, and Otto generates the verified parser.

AI Masking

Auto-redact PII, PHI, and credentials before data ever reaches Google SecOps.

Sovereign Dual-Write

Critical signal to SecOps, raw archives to on-prem MinIO for data residency.

0exposed

Zero PII reaches Google SecOps unmasked.

Otto auto-identifies and redacts PII, PHI, and credentials before ingestion, while dual-write pipelines keep legally mandated raw archives on-prem or in GCS — structural data residency for GDPR, DPDP, and SEBI CSCRF.

“

For the first time, we gained deep, real-time observability into our entire data pipeline. Praxis has transformed how we filter noise and route critical telemetry to Google SecOps.

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

Trim the noise. Prove the compliance.

See Praxis filter, mask, and route live Google SecOps telemetry from
one unified canvas — with full pipeline observability from day one.