Cisco and Splunk Unveil Agentic SOC and On-Premises AI New Features
Published2026.09.16 09:17
The focus is on expanding partnerships with NVIDIA and AWS to enable secure AI operations anywhere machine data exists.
Gito Patel, Cisco president and chief product officer (CPO), stated, "By running Splunk AI on the infrastructure customers already trust, they can gain confidence and control while accelerating AI adoption."
The 'Cisco AI POD for Splunk' combines pre-validated AI runtime software, Cisco infrastructure, NVIDIA accelerated computing, and Kubernetes-based architecture, currently available.
Partner companies including Accenture, bitsIO, Wipro, and World Wide Technology support deployment.
According to Cisco, this feature helps teams operating Splunk in their own data centers build agent-based investigations and custom agents, supporting Agentic SOC implementation.
Supported models include the Cisco Deep Time Series Model, Google Gemma 4, and OpenAI GPT-OSS 20B, with NVIDIA Nemotron open models to be added within the coming months.
This feature tracks token spending in real-time and analyzes root causes when using coding agents such as Claude Code, Codex, and Cursor.
By leveraging Cisco's Deep Time Series Model to forecast consumption patterns, organizations can identify spending trends before the billing period ends.
In the Agentic SOC domain, dedicated agent capabilities handling detection engineering, proactive threat detection, autonomous investigation, coordinated response, and policy governance expand the 'Splunk Agentic SOC Workforce.'
Cisco stated it is pursuing joint product development with AWS through multi-year agreements to advance Agentic SOC capabilities.
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