Cisco today announced new Splunk innovations at SPLUNK .CONF in Denver, giving customers the ability to safely and cost-efficiently scale AI wherever their data already lives. Announced under the theme of Trusted AI at Scale, customers can now run, defend, and observe AI where their machine data already lives, with an expanded partnership with NVIDIA to bring agentic AI to Splunk on-premises customers.
For customers who can't move sensitive data to the cloud, Splunk AI has remained out of reach – until now. Cisco and NVIDIA are expanding their partnership to bring self-managed AI directly to Splunk Enterprise customers, across their own on-premises, private cloud, and air-gapped environments.
Cisco Secure AI Factory with NVIDIA is the reference architecture that brings the full AI stack together, built from Cisco AI PODs. The newest of these configurations, Cisco AI POD for Splunk, brings Splunk AI to on-premises customers with new AI runtime software, Cisco infrastructure, NVIDIA accelerated computing, and Kubernetes-based architecture – pre-validated and optimized for Splunk AI workloads. Cisco AI POD for Splunk is available today. For customers who have their own infrastructure, partners like bitsIO, Wipro, and World Wide Technology are ready on day one to help customers stand it up.
Splunk AI Assistant (available now) and Agent Launchpad (coming later this year) run on this layer. Together, they bring ad-hoc agentic investigations and custom agent building for a broad variety of use cases including the agentic SOC to teams that run Splunk in their own data centers.
Customers can also self-host a selection of open and proprietary generative AI models for their Splunk Enterprise workloads, including the Cisco Deep Time Series Model, Google Gemma 4, and OpenAI GPT-OSS 20B, with NVIDIA Nemotron open models in the coming months. Teams can use the model best suited for the job without sending data outside their environment.
"One of the biggest roadblocks to enterprise AI today is that it's too hard to deploy," said Jeetu Patel, President and Chief Product Officer, Cisco. "Customers want to know: Can I trust it to do the job? Can I afford it? And, most importantly, can I secure it? By running Splunk AI on the infrastructure customers already trust, they can move faster to put AI to work in their business with confidence and control."
"Enterprises need to bring AI where their data lives, especially when security and sovereignty requirements require critical workloads to stay on-premises," said Justin Boitano, Vice President of Enterprise AI at NVIDIA. "By enabling Splunk AI workloads to run with NVIDIA Nemotron open models on NVIDIA accelerated computing, Cisco and NVIDIA are working together to bring AI agents directly to Splunk and giving organizations a high-performance, full-stack foundation for agentic security operations wherever they run their infrastructure."
New observability innovations give Cisco customers one full-stack view into how their AI agents are actually performing. AI agents behave in ways that the people running them can't always predict, running up costs that stay invisible until the invoice lands. Splunk Agent Observability, with its new Tokenomics capabilities, is closing that visibility gap and giving organizations a real-time view into agent performance and AI token spend.
Splunk Agent Observability, announced initially as an on-premises offering, is now available in Splunk Observability Cloud and in Cisco Cloud Control, extending visibility to customers working across the Cisco portfolio. It evaluates agent and model behavior, observes performance across the AI stack, and applies runtime guardrails that block inaccurate or unsafe actions, like hallucinations or leaking sensitive data.
As part of Splunk Agent Observability, the new Tokenomics solution extends that visibility to spend – tracking and attributing token expenditure across AI agents and employees' use of coding agents like Claude Code, Codex, and Cursor. It will also forecast consumption patterns to project where spend is headed before a billing period ends, using the Cisco Deep Time Series Model. These insights help organizations to operationalize a tokenomics framework and tie AI spend to business outcomes.
Cisco is also helping organizations strengthen their infrastructure resilience by minimizing visibility gaps and cost barriers that hinder autonomous troubleshooting. The Observability Studio enables teams to ensure new applications are "born observable," measurable and production-ready from the start. The new Network Intelligence App brings Cisco network topology, device health, and events into Splunk, so network teams can trace an alert straight to the device behind it and the network around it.
The AI threat landscape is on track to outpace the human-led defense model. Splunk is advancing the agentic SOC by combining enterprise-wide telemetry with specialized AI agents powered by leading frontier and domain-specific models. New purpose-built agent capabilities expand the Splunk Agentic SOC Workforce and mirror how elite security operations teams work across detection engineering, proactive threat hunting, autonomous investigation, coordinated response, and policy governance.
New Exposure Analytics enhancements deliver broader asset coverage, historical change tracking, and business-specific risk insights, connecting exposure context to live security activity across Splunk, Cisco, and an extensive third-party ecosystem. New capabilities in Splunk Enterprise Security Essentials bring agentic security operations and greater autonomy to far more security teams, while Splunk Enterprise Security Premier adds deeper agentic autonomy.
Splunk and AWS are expanding their long-standing relationship into joint product development through a multi-year agreement. The work advances the agentic SOC to match the speed of AI-driven attacks, combining Splunk's data platform and detection depth with AWS global cloud scale to put agentic support in the hands of analysts across detection, investigation, and response.
About Cisco
Cisco is the worldwide technology leader that is revolutionizing the way organizations connect and protect in the AI era. For more than 40 years, Cisco has securely connected the world. With its industry leading AI-powered solutions and services, Cisco enables its customers, partners and communities to unlock innovation, enhance productivity and strengthen digital resilience. With purpose at its core, Cisco remains committed to creating a more connected and inclusive future for all. Discover more on The Newsroom and follow us on X at @Cisco.
About Splunk LLC
Splunk, a Cisco company, helps build a safer and more resilient digital world. Organizations trust Splunk to prevent security, infrastructure and application issues from becoming major incidents, absorb shocks from digital disruptions, and accelerate digital transformation.
