Cisco has officially launched the Cisco Data Fabric, a groundbreaking architecture designed to help organizations maximize the value of their machine data with AI. Powered by the Splunk platform, this solution reduces the cost and complexity of managing machine data at scale while enabling its use in AI-driven applications. From training custom AI models to powering agentic workflows, the Cisco Data Fabric allows businesses to correlate diverse streams of machine and business data, extract insights, and accelerate smarter decision-making.

Jeetu Patel, President and Chief Product Officer at Cisco, highlighted the significance of this innovation, stating: “Organizations everywhere are sitting on a gold mine of machine data that’s been too complex, cumbersome, and costly to leverage for AI, until today. From sensor readings and factory metrics to checkout system data and event updates from apps, servers, networks and more, machine data drives how businesses operate. Splunk revolutionized data and analytics for the cloud. And now, the Cisco Data Fabric is poised to do the same for AI by making it possible for enterprises to build AI models with their own proprietary machine data.”

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Driving Innovation in the AI Era

Built for the AI era, the Cisco Data Fabric empowers enterprises to innovate faster, strengthen security, and improve business agility. By unifying and activating machine data across the enterprise, it delivers turnkey solutions that simplify complexity and reduce costs, all while addressing the challenges of managing distributed data.

Kamal Hathi, SVP and GM of Splunk at Cisco, explained: “Our goal is to give customers the fastest, most secure path from data to action. By embedding AI across the platform and embracing open standards, we’re not just helping organizations analyze information faster we’re enabling them to anticipate change, scale innovation without unnecessary complexity, and deliver digital services that are more resilient, adaptive, and responsive to the needs of their users.”

Turning Machine Data into Actionable Intelligence

The Cisco Data Fabric transforms streams of data into actionable insights, accelerating decision-making and fueling innovation. Intelligent edge management allows advanced filtering, shaping, and tiering of data, while federation capabilities correlate insights across multiple domains to deliver near real-time operational intelligence. With AI assistants and agentic features at the core, organizations can reduce administrative burdens, resolve issues faster, and empower teams to act with agility.

Notably, the framework offers:

  • Unified, Intelligent Data Foundation: Seamless transformation of data across edge, cloud, and on-premises into actionable insights.
  • Cross-Domain Real-Time Search: Ability to search and analyze data across major platforms like Amazon S3, Snowflake, and Azure.
  • Flexible, Open Architecture: High compliance with open standards and self-service tools to drive innovation.

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In addition, Cisco will soon introduce a Time Series Foundation Model for advanced anomaly detection and forecasting, while the Splunk Machine Data Lake provides a persistent AI-ready foundation for enterprise analytics.

Archana Venkatraman, Senior Research Director at IDC, emphasized the platform’s industry impact:
“The Cisco Data Fabric addresses a critical pain point in today’s AI-driven enterprise: the challenge to quickly and securely unify vast streams of machine data for continuous resilience. By enabling a federated approach that eliminates data movement, it provides a pragmatic solution for organizations operationalizing AI at scale. Its focus on real-time search, coupled with a repository for AI-ready data, provides tangible value by reducing complexity and time to insights. This unified architecture is a strong step toward helping customers build more resilient and trustworthy AI systems.”

With this launch, Cisco positions the Data Fabric as a vital foundation for enterprises looking to operationalize AI, unlock machine data’s true potential, and build resilient digital ecosystems.

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