Splunk Modernization
Modernize the SIEM without rip-and-replace. Reduce index cost, normalize data to the Common Information Model, and route telemetry through Cribl — while Splunk keeps doing what it does best.
The SIEM is not the problem. The pipeline is.
Splunk is not failing because it is a bad product. It is failing because it is being fed every byte of every source, at full fidelity, without mediation.
The result is rising index cost, slow searches, and a data lake full of noise. The fix is not to abandon Splunk. It is to put intelligence in front of it — filter, route, shape, and normalize telemetry before it ever hits the indexer.
Neural Data Fabric modernizes the pipeline around Splunk: Cribl Stream at the edge, CIM normalization in the middle, and policy-native routing that decides where every event goes — hot, warm, cold, or to the floor.
What modernization includes
Cribl Stream Pipelines
Real-time filtering, routing, shaping, and enrichment before data reaches the indexer — edge filtering reduces volume before transmission.
Index Cost Reduction
Route low-value data away from hot indexes, drop noise, and move cold data to object storage — preserving searchability while cutting cost.
CIM Normalization
Field extraction, timestamp alignment, and schema enforcement to the Splunk Common Information Model — faster correlation, cleaner dashboards.
Cluster Migration & Sizing
Indexer clustering, architecture, and migration designed for degraded connectivity and air-gapped operation.
Modernize, don't replace
Splunk keeps running. Cribl keeps routing. ServiceNow keeps ticketing. Every tool you have already procured, trained on, and integrated continues operating — as a governed adapter in the fabric. Modernization is about cost, routing, and normalization, not about abandoning the investments you already made.
Splunk's pricing trajectory, vendor acquisition strategy, or licensing decisions should not determine what your mission can do. The intelligence layer is yours.
Frequently asked
What does Splunk modernization mean?
It means keeping Splunk — the licensing, the searches, the trained analysts — while fixing the economics and the architecture around it. We add Cribl stream pipelines to filter, route, and shape data before it indexes, reducing index volume and cost.
Do you rip out Splunk?
No. Splunk stays. Cribl stays. ServiceNow stays. The fabric governs them as adapters. Modernization is about cost, routing, and normalization — not replacing the investments you already made.
How much can index costs drop?
Reductions depend on the data profile, but routing low-value data away from hot indexes, filtering noise at the edge, and moving cold data to object storage typically produces substantial savings while preserving searchability.
Can you migrate Splunk clusters?
Yes — architecture, sizing, indexer clustering, and migration are part of the practice. We design clusters that survive degraded connectivity and air-gapped operation.
Does this work in air-gapped environments?
Yes. The entire telemetry path — collection, routing, normalization, and indexing — is designed to operate on-premises and fully disconnected when required.
Explore the fabric
Request a Splunk modernization assessment
Data profile review, index cost analysis, and a Cribl pipeline design for your existing Splunk environment.
Cribl Stream · Splunk · CIM
Air-Gap Capable · On-Premises