en.Wedoany.com Reported - June 1, 2026 – Gigamon, a deep observability company, and Splunk, a Cisco company, today announced a strategic partnership aimed at helping organizations more efficiently extract value from distributed data. By integrating the Gigamon Deep Observability Pipeline with Splunk Federated Search (a core component of Cisco's data architecture, powered by the Splunk Cloud Platform), organizations can access and analyze high-value telemetry data from any location without the need to centralize or replicate data.
In hybrid and AI-driven environments where data volumes continue to grow, security and IT teams are often forced to choose between data management costs and comprehensive visibility. The Gigamon and Splunk partnership eliminates this trade-off by providing a more efficient approach to accessing, managing, and operating distributed data. The Gigamon Deep Observability Pipeline extracts and enriches application metadata, transforming raw network traffic into high-fidelity, actionable telemetry. Splunk Federated Search allows teams to query and analyze distributed datasets in place, delivering unified visibility across environments without moving data.
Seth Brickman, Vice President of Product Management for the Splunk Platform at Cisco, stated that combining Splunk Federated Search capabilities with Gigamon network telemetry helps customers gain richer operational and security insights while reducing the cost and complexity of managing large data volumes. Together, they offer a more flexible, AI-ready approach to data management. Srinivas Chakravarty, Vice President of Cloud Ecosystem at Gigamon, noted that as data volumes grow in hybrid cloud and AI-driven environments, organizations need smarter ways to manage telemetry data. The combination of the Gigamon Deep Observability Pipeline and Splunk Federated Search transforms raw network traffic into high-fidelity telemetry accessible anytime, anywhere, reducing unnecessary data movement and ingestion costs, improving visibility, and enabling earlier threat detection.
At the core of this partnership is a commitment to customer choice. Organizations can decide where to store their data, including Splunk Cloud Platform indexes, Amazon S3, Azure Blob Storage, and more, while maintaining federated access across environments. This allows them to balance performance, cost, compliance, and data sovereignty requirements without sacrificing visibility or analytical capabilities. According to Gartner, by 2030, 90% of new SIEM purchases will require federated data and content-first architectures, rejecting closed ecosystems and proprietary data stores. The use of federated and decentralized data enables SIEM users to store data in multiple repositories at lower cost and remotely access data in generating systems, while still ingesting information from a wide range of sources for investigations.
In the 2026 Hybrid Cloud Security Survey, 79% of over 1,000 security and IT leaders are considering repatriating public cloud data to private cloud environments due to security concerns, while 72% believe data lakes offer stronger security controls. The Gigamon and Splunk partnership enables organizations to align their data strategies with evolving operational, security, and compliance requirements. The combined Gigamon and Splunk solution helps organizations achieve: deeper visibility across encrypted, lateral, and hybrid cloud traffic; access to distributed data without centralized movement or replication; reduced cost and complexity through intelligent telemetry filtering and enrichment; earlier threat detection and faster security investigations; and enhanced compliance readiness through scalable monitoring and reporting.
The Gigamon Federated Search Application includes pre-built processing pipelines for Splunk Edge and Ingest Processors, federated search templates, and unified dashboards, simplifying how organizations analyze and operate distributed telemetry. By integrating the Gigamon Deep Observability Pipeline with Splunk Edge and Ingest Processors, customers can process, route, filter, and enrich telemetry data closer to the source, reducing unnecessary data movement and ensuring only high-value telemetry is stored, searched, and analyzed. Gigamon protects the hybrid cloud networks and data of the world's most complex organizations. The AI-driven Gigamon Deep Observability Pipeline delivers comprehensive visibility into all dynamic data by providing trusted, network-derived telemetry directly to cloud, security, and observability tools. With AI-driven insights across packets, flows, and application metadata, organizations can detect threats hidden in encrypted and lateral traffic, resolve network and application performance bottlenecks, verify compliance, and reduce cost and complexity. Gigamon is trusted by over 4,000 organizations globally, including 83 Fortune 100 companies, major mobile network operators, and public sector agencies at all levels.
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