Cisco has unveiled a comprehensive suite of AI-powered observability tools, leveraging capabilities from its $28 billion acquisition of Splunk. The new offerings include a unified data fabric, a machine data lake, and a time series foundational model designed for anomaly detection and root cause analysis, positioning Cisco as a front-runner in AI-enabled enterprise observability.
“With the latest innovations in Splunk Observability, we are empowering enterprises to proactively monitor their critical applications and digital services with ease, resolve issues before they escalate, and ensure the value and outcomes they derive from observability are commensurate with the cost,” said Patrick Lin, senior vice president and general manager of Splunk Observability.
Central to the announcement is the AI-powered Splunk observability agent, which enables AI deployment across the entire incident response lifecycle. Available through Splunk’s Observability Cloud and AppDynamics, these agents autonomously analyze incidents, correlate alerts, and provide actionable summaries, helping enterprise teams detect patterns and resolve issues faster than ever.
“Every company has massive volumes of this machine data, but it’s been largely left out of AI… we’ve only begun to scratch the surface of what we can do with AI,” said Jeetu Patel, Cisco’s chief product officer. He emphasized that with the launch of the Cisco Data Fabric and the Time Series Foundation Model, enterprises can finally turn machine-generated data into actionable AI intelligence, unlocking insights previously buried in vast data streams.
The Time Series Foundation Model will also be released on Hugging Face in November 2025, extending Cisco’s vision to the broader AI community and enabling organizations and developers to build smarter, AI-driven observability solutions.
By combining machine data, AI analytics, and enterprise observability, Cisco’s latest suite empowers organizations to move from reactive troubleshooting to proactive system management, ensuring operational efficiency, faster incident resolution, and improved digital service outcomes. With this launch, Cisco is redefining the role of AI in observability, making it a critical tool for modern enterprises navigating increasingly complex IT ecosystems.
