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Machine Data Insights

CIM Normalization Pipeline

Turn raw machine data into validated, deploy-ready content for Splunk® ES & ITSI - faster, with AI-accelerated tooling and repeatable methods.

There’s Gold In That Data!®

The Foundation

What is CIM Normalization?

CIM normalization aligns security and operational data from every vendor to Splunk’s standard schemas - so one detection, dashboard, or KPI works across all of them, instead of a custom search per technology.

Map vendor-specific fields to common CIM fields.
Create eventtypes that identify significant security and operational events.
Create tags that link those events to the accelerated data models Splunk ES & ITSI run on.
Make every source analyzable consistently - firewall, endpoint, identity, cloud, email, PLC, SCADA, IoT.

Why It Matters

What CIM Normalization Unlocks in Splunk ES & ITSI

You can write detections without CIM - most teams have, one search per technology. Normalized data is what lets a single detection, KPI, or dashboard span every vendor, run at data-model speed, and use the content Splunk ships. ITSI KPIs and entity rules want the same thing: consistent fields and identifiers. Miss it and nothing errors - you just pay for coverage one search at a time.

For Splunk ES

One correlation search covers every vendor in a data model - not one per technology.
Out-of-the-box Security Content works as shipped.
Better detection accuracy, fewer false positives, faster investigations.
Asset & identity enrichment keys on CIM fields - it works even where detections don’t use data models.

For Splunk ITSI

One KPI definition measures every vendor's tier the same way.
Consistent identifiers mean entity rules match - hosts don't drop out of services.
Content packs depend on well-built add-ons; the pipeline produces them.
Service health scores you can actually trust - and explain to the business.

What breaks when you move a detection onto a data model without CIM normalization

unmappedpan:traffic
no tag
data modelNetwork Traffic

Converting a search to run on a data model is where unmapped sourcetypes surface. The data is in Splunk. The search runs clean. It finds nothing - because those events never reached the model it queries. MDI’s CIM Assessment Toolkit (CAT) finds them first, ranked by impact.

The MDI CIM Normalization Pipeline

You run the client-side tools; the encrypted exchange hands data to MDI; MDI runs the engine.

01
Assess
CAT
02
Sanitize
Paydirt
03
Secure Handoff
Secure Exchange
04
Build
Data Refinery
01 · Assess

CAT

CIM Assessment Toolkit

Free, open-source app that scores CIM compliance by dataset and sourcetype - exposing the gaps that break Splunk ES correlation searches.

Free & Open SourceDataset-LevelAcceleration Health
Paydirt
02 · Sanitize

Paydirt

Log Scrubber

Free, open-source scrubber for CUI, PII, PHI & credentials. Runs fully on your machine - no install, no network calls. CMMC, HIPAA & GDPR aware.

Free & Open SourceRuns OfflineNo Install
03 · Secure Handoff

Secure Exchange

Encrypted Data Transfer

A private, encrypted cloud channel per engagement - clients upload source data, collect signed deliverables. Isolated, encrypted, fully logged.

EncryptedPer-Client IsolationAudit Trail
04 · Build

Data Refinery

Normalization Engine

The MDI engine that builds the fix an assessment finds: validated, CIM-compliant Splunk TAs and Cribl packs - AppInspect-checked and deploy-ready.

CIM-ValidatedAppInspect-CheckedTAs + Cribl Packs

One Validated Output, Two Deployment Paths

Data Refinery’s CIM-validated artifacts deploy whichever way your environment runs.

Data Refinery
CIM-validated output
Data Refinery refining raw machine data into deployable artifacts

Splunk CIM TAs

props, transforms, eventtypes & tags - normalize vendor fields to CIM at search / index time. Drop-in for Splunk ES.

Cribl Packs

normalize and reduce in-stream - cut ingest and license cost before data ever lands.

Both paths ship CIM-validated, AppInspect-checked, and fully documented.

Let’s turn your data into detection.

MDI delivers CIM normalization, data-volume reduction, and CIM macro & correlation-search optimization - with AI-accelerated tooling that cuts time-to-value and consulting cost.

CIM Normalization Data-Volume Reduction Correlation-Search Optimization CIM Macro Optimization AI-Accelerated

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