Cisco and NVIDIA have expanded their partnership to launch the Cisco AI POD for Splunk, enabling on-premises deployment of Splunk AI. The release also introduces Tokenomics for tracking AI agent costs and new agentic security operations center capabilities to automate threat detection.
The launch of Cisco AI POD for Splunk addresses the critical barrier of data sovereignty for streaming infrastructure providers who cannot migrate sensitive telemetry to the cloud. By enabling on-premises execution of large language models, Cisco and NVIDIA provide a blueprint for high-performance, air-gapped AI operations. This shift toward agentic security operations centers allows platforms to counter machine-speed attacks that now outpace human-led defense models. As streaming entities scale their AI adoption, the introduction of Tokenomics provides the necessary financial visibility to tie model consumption directly to business value. Watch for the release of Splunk Agent Launchpad later this year to see how quickly enterprises transition from observation to custom agent deployment.
This infrastructure launch follows recent industry efforts to protect enterprise AI agent infrastructure as organizations move beyond pilot programs into production-grade deployments. As these systems scale, executives are increasingly focused on AI agent governance gaps to ensure operational integrity, a concern recently highlighted by autonomous AI agent risks in enterprise environments. To further mitigate potential failures, organizations are also looking at how Splunk defines eight levels of autonomy for their deployments, while also exploring multi-agent AI orchestration patterns to manage complex workflows.
Cisco has launched the Cisco AI POD for Splunk, an infrastructure solution developed with NVIDIA that enables enterprises to run generative AI models on-premises. This launch is significant because it allows organizations to maintain strict data sovereignty and secure air-gapped environments while countering machine-speed cyberattacks that outpace traditional human-led defense models.
It is a new infrastructure solution that enables the on-premises deployment of Splunk AI, allowing enterprises to run generative AI models within their own data centers.
The infrastructure supports generative AI models including NVIDIA Nemotron and OpenAI GPT-OSS 20B.
The Tokenomics feature in Splunk Agent Observability tracks real-time AI token spend and coding agent usage across platforms like Claude Code and Cursor.
Splunk and AWS have signed a multi-year agreement to co-develop security solutions specifically targeting AI-driven exploitation campaigns.
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