Cisco and Nvidia Expand Partnership to Deliver Agentic AI Capabilities within Splunk

SentiSense · Published Sep 15, 2026, 10:30 AM ET · Updated Sep 28, 2026, 2:45 AM ET

Cisco announced an expanded collaboration with Nvidia to embed agentic AI directly into Splunk environments, including on-premises, private cloud, and air‑gapped systems via a new Cisco AI POD. The joint effort aims to provide enterprises real‑time spend tracking, security automation, and trusted, cost‑efficient AI at scale. Cisco highlighted the importance of confidence, governance, and security as barriers to broader AI adoption.

Cisco and Nvidia disclosed an expanded partnership that brings agentic AI capabilities into Splunk deployments across self‑managed, private‑cloud, and air‑gapped environments through the newly introduced Cisco AI POD for Splunk. The collaboration builds on earlier Splunk integrations, promising enterprises real‑time spend tracking and AI‑driven security automation while keeping data where it resides.

In a complementary announcement, Cisco emphasized that the biggest barrier to enterprise AI adoption is not technical capability but trust, customers need assurance that AI is secure, governed, and cost‑effective. The new Splunk innovations aim to close that gap, enabling organizations to safely scale AI workloads wherever their data lives.

Both companies position the joint solution as a way to deliver trusted AI at scale, leveraging Nvidia's GPU expertise and Cisco's networking and security portfolio. By extending AI to on‑premises and isolated environments, the partnership addresses industries with strict data‑privacy and compliance requirements, such as finance, healthcare, and defense.

Analysts will watch for early adoption metrics, particularly how quickly enterprises integrate the Cisco AI POD into existing Splunk stacks and whether the promised security and cost efficiencies materialize. Success could spur further collaborations between networking and AI hardware firms aiming to bring advanced intelligence to traditionally closed enterprise environments.