Cisco Data Fabric Transforms Machine Data into AI-Ready Intelligence
Machine data-trained AI models will deliver predictive insights and proactive resilience
"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," said
The
"Our goal is to give customers the fastest, most secure path from data to action," said
Unlocking the Power of Machine Data for Agentic AI
The
With the power of the
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Operate on machine data at extreme scale
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Unified,
Intelligent Data Foundation : Simplify transformation of data across edge, cloud, and on-premises, including SecOps, ITOps, DevOps, and NetOps, into real-time, actionable insights while optimizing for cost and efficiency. -
Cross-Domain Real-Time Search and Analysis: Quickly search and analyze data where it resides, federating across sources like Amazon S3 (available now), Apache Iceberg,
Delta Lake (with Spark), Snowflake, and Microsoft Azure, while intelligently routing data to the most appropriate storage or analytic engine for the workload. Additional sources will be available in 2026. - Flexible, Open Architecture: Adapts to multiple environments, spanning on-premises and cloud deployments, including high compliance with open standards, plug-and-play integrations, and self-service tools to empower innovation without limitations.
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Unified,
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Unlock the value of proprietary data
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Time Series Foundation Model (coming soon): Powers advanced pattern analysis and temporal reasoning on time series data, enabling advanced anomaly detection, forecasting, and automated root cause analysis across the
Cisco Data Fabric. It drives proactive operations, accelerates incident response, and turns machine data into actionable intelligence. -
Fuel for AI Innovation: Unique capabilities such as
Splunk Machine Data Lake provide a persistent, AI-ready foundation for both model training and enterprise analytics. Together with the Splunk AI Toolkit (formerly known as the Machine Learning Toolkit) and Splunk Model Context Protocol Server, these innovations help to transform machine data into a fuel source for advanced AI capabilities.
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Time Series Foundation Model (coming soon): Powers advanced pattern analysis and temporal reasoning on time series data, enabling advanced anomaly detection, forecasting, and automated root cause analysis across the
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Unify the experiences for humans and AI agents
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Cisco AI Canvas: Integrating with Splunk Cloud Platform,Cisco AI Canvas provides an AI agent to orchestrate the analysis workflow and a workspace for team collaboration. This new virtual war room experience helps teams discover deeper insights, collaborate in real-time, and take decisive action faster than ever before. Splunk users can access advanced investigation and visualization tools as well as effortlessly collaborate with peers and extend findings with new knowledge objects, alerts, and reports within a unified and intuitive interface. - AI-Native at Every Step: The Splunk platform includes built-in AI capabilities to help at every stage of the data lifecycle – from onboarding and data management to agentic search and user experience – driving unprecedented productivity, agility, and innovation.
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"The
Availability
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Cisco Data Fabric is built using Splunk Enterprise and Splunk Cloud Platform capabilities and is available today. It will incorporate future advances across data management, federation and AI. Additional features will become available through 2026. - The Splunk AI Toolkit is available now, with newly hosted models available in 2026.
- Replay S3 for Federated Analytics will be available in
October 2025 across theCisco Data Fabric. - The Time Series Foundation Model will be listed on Hugging Face, an open-source community, in
November 2025 . - The
Cisco AI Canvas integration with Splunk andSplunk Machine Data Lake will be available in 2026.
To learn more about how machine data is driving the next frontier of AI, read this blog from Jeetu. For more details on all of Splunk's .conf25 announcements, please visit our newsroom. Availability dates and regions are subject to change.
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About
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Futures Disclaimer: Many of the products and features mentioned are still in development and will be made available as they are finalized, subject to ongoing evolution in development and innovation. The timeline for their release is subject to change.
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