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Cisco and Splunk enterprise AI deployment developments

Overview

Cisco and Splunk have introduced new infrastructure and software tools focused on deploying and managing agentic AI within enterprise environments.

Initially, the companies announced the Cisco AI POD for Splunk, a turnkey on-premises infrastructure. This system integrates Cisco UCS compute, NVIDIA GPU acceleration, and Red Hat OpenShift to allow organizations to host AI workloads locally. This approach is intended to support data sovereignty and regulatory requirements by enabling the use of models like Google Gemma 4 and OpenAI GPT-OSS 20B in air-gapped or regulated environments.

Following this, Splunk expanded its offerings at the . conf26 conference by introducing tools specifically for managing autonomous AI agents. These include capabilities for an ‘Agentic SOC’ to automate security responses, ‘Splunk Agent Observability’ to monitor for hallucinations and non-deterministic behavior using small language models, and ‘Tokenomics’ to track AI-related costs through token consumption metrics. Splunk also highlighted a decentralized data strategy using ‘Federated Search’ to analyze data in situ rather than centralizing it.

Entities

Cisco · Splunk · Google · Red Hat · Kamal Hathi

Timeline

  1. [TECHNOLOGY] 4 sources
    Splunk announces new AI agent governance and security tools

    At Splunk . conf26, Splunk announced new AI agent observability, security automation (Agentic SOC), and tokenomics tools to manage the cost, trust, and governance of enterprise AI deployments.

  2. [TECHNOLOGY] 4 sources
    Cisco and Splunk launch on-premises AI infrastructure

    Cisco and Splunk have launched the Cisco AI POD, an on-premises turnkey infrastructure allowing enterprises to run agentic AI workloads locally to ensure data sovereignty and regulatory compliance.

Sources

arabianreseller.com · atmarkit.co.jp · forkast.news · frontier-enterprise.com · itdaily.be · japan.zdnet.com · newswire.telecomramblings.com · tfir.io