The new approach from Gigamon and Splunk enables in-place analysis of enriched data, cutting unnecessary data movement and the ingestion costs that come with it while preserving full visibility across environments.

How the Joint Solution Actually Works

Gigamon’s Role: Turning Raw Traffic Into Useful Telemetry

The Gigamon Deep Observability Pipeline converts raw network traffic into high-fidelity telemetry by extracting and enriching application metadata across both North-South and East-West traffic flows. This process produces cleaner, more useful signals for security and observability workflows.

Splunk’s Role: Querying Data Where It Lives

Splunk Federated Search extends that value by letting teams query distributed datasets without ingesting everything into Splunk indexes. The result is unified visibility across environments without moving data unnecessarily.

What Leaders From Both Companies Are Saying

Splunk’s View: Richer Insights at Lower Cost

“Organizations today need deeper, more connected visibility across increasingly distributed environments,” said Seth Brickman, vice president of Product Management for the Splunk Platform at Cisco. “By combining Splunk’s Federated Search capabilities with network telemetry from Gigamon, we’re helping customers gain richer operational and security insights while reducing the cost and complexity of managing large volumes of data.“

Gigamon’s View: Smarter Telemetry Management

“As data volumes continue to grow across hybrid cloud and AI-driven environments, organizations need a smarter way to manage telemetry without increasing cost or complexity,” said Srinivas Chakravarty, vice president of cloud ecosystem at Gigamon. The joint solution “reduces unnecessary data movement and ingestion costs while improving visibility and enabling earlier threat detection.“

Why Customer Choice Is Central to This Partnership

You Keep Control Over Where Data Lives

Being able to choose where data lives lets companies juggle performance needs, budget constraints, compliance rules, and data-ownership requirements without giving up on analytics. Organizations keep control over data placement, whether in Splunk Cloud Platform indexes, Amazon S3, Azure Blob Storage, or other third-party repositories, while maintaining seamless federated access across all environments. You’re not forced to pick between following the rules and getting insights from your data.

What the Market Is Telling Us About Data Architecture

Gartner predicts that by 2030, nine out of ten new SIEM purchases will require federated data approaches and content-first designs. Companies are moving away from closed systems that lock data into proprietary stores. The shift toward federated and decentralized data means SIEM users can now store information more cheaply across different data stores and even keep it in the systems where it’s generated, while still being able to investigate it from anywhere in their environment.

Real-World Benefits Organizations Will See

Five Concrete Outcomes Your Team Can Expect

Better visibility – You’ll see deeper into encrypted traffic, lateral movement, and hybrid cloud environments that previously stayed hidden.

No more forced centralization – Access data distributed across your environment without copying everything to one place or creating duplicate copies.

Smaller bills, less headache – Smart filtering and enrichment mean you stop wasting money on data that doesn’t matter. You’re only keeping what you actually need to store and search.

Quicker threat detection – You catch security problems sooner and investigate them faster since you don’t have to wait around for data to ship to a central warehouse first.

Easier compliance – Monitoring and reporting that scale with you make hitting regulatory targets way simpler without having to build out new infrastructure from scratch.

What You Get in the Integration

Inside the Gigamon Federated Search App

This app comes with processing pipelines already built for Splunk Edge and Ingest Processor, plus federated search templates and unified dashboards. Everything’s set up to make analyzing and using distributed telemetry way less painful.

Handling Data Near Its Source

When you integrate the Gigamon Deep Observability Pipeline with Splunk Edge and Ingest Processors, you process, route, filter, and enrich telemetry much closer to where it’s actually generated. That way, only the high-value stuff gets stored, searched, and analyzed, and you cut down on moving data around for no reason.

What This Means for Security and IT Teams Going Forward

The Gigamon–Splunk partnership removes the pressure to centralize everything just to maintain visibility. For organizations wrestling with ballooning telemetry volumes and rising cloud costs, the integration provides a practical path to keep data where it makes sense while still extracting enterprise-grade security and observability insights. As hybrid environments and AI workloads continue expanding, this federated approach aligns with where the market is heading and what customers are already demanding.

Research and Intelligence Sources: Gigamon, Splunk, Gartner

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