TLDRCisco expands Splunk AI with NVIDIA support for secure on-premises deployment.Splunk Tokenomics adds real-time tracking and forecasting for enterprise AI costs.Cisco adds observability tools to track agent behavior, performance, and risks.Splunk and AWS deepen product development around faster enterprise security tools.CSCO trades at $110.21 as Cisco broadens Splunk’s enterprise AI strategy further.Cisco Systems (CSCO) traded at $110.21, up 0.13%, after pulling back from an intraday peak near $111.60. Meanwhile, Cisco expanded Splunk’s enterprise AI strategy through broader partnerships with NVIDIA and AWS. The company added tools for secure deployment, cost monitoring, observability, and faster security operations.Cisco Systems, Inc., CSCOSplunk Expands On-Premises AI With NVIDIACisco expanded its NVIDIA partnership to bring self-managed Splunk AI into on-premises and air-gapped environments. The approach targets organizations that need tighter data control and stronger sovereignty protections. It also keeps sensitive information inside infrastructure already managed by enterprise customers.Cisco AI POD for Splunk combines Cisco systems, NVIDIA computing, AI software, and Kubernetes architecture. The pre-validated system is available now for customers seeking local deployment of Splunk workloads. Wipro, bitsIO, and World Wide Technology can also support deployment on existing infrastructure.Splunk AI Assistant already runs on the platform, while Agent Launchpad is expected later this year. Customers can also host selected open and proprietary models for Splunk Enterprise in their own environments. Cisco plans to add NVIDIA Nemotron models, giving organizations more options for local AI use.Cisco Adds Tokenomics and Observability ToolsCisco also expanded Splunk Agent Observability across Splunk Observability Cloud and Cisco Cloud Control. The service tracks agent behavior, model performance, and runtime activity across the AI stack. Cisco added guardrails designed to block inaccurate actions and reduce risks involving sensitive data.New Tokenomics tools extend monitoring to token spending across AI agents and employee coding tools. The system tracks usage, assigns costs, and forecasts consumption before a billing period ends. Cisco designed the feature to connect AI spending with budgets and measurable business results.Observability Studio helps teams build applications with monitoring available from the start. Meanwhile, Network Intelligence App adds Cisco network topology, device health, and events directly into Splunk. Cisco also introduced Essentials and Premier editions to simplify observability purchases and expand log analysis.Splunk and AWS Expand Security DevelopmentCisco is also extending Splunk’s security strategy through a multi-year product development agreement with AWS. The companies plan to combine Splunk’s security platform with AWS cloud scale for faster threat response. Their work will support detection, investigation, and response as automated attacks become faster.Splunk is expanding its Agentic SOC Workforce for detection, threat hunting, investigation, response, and policy tasks. These tools use enterprise telemetry across network, cloud, application, and identity systems to support faster decisions. Cisco also expanded Exposure Analytics with broader asset coverage, historical tracking, and business-specific risk context.The strategy builds on Cisco’s 2024 Splunk acquisition, which strengthened its security and observability business. Cisco now uses Splunk as a core platform for AI operations, infrastructure visibility, and security automation. The broader strategy links local deployment, cost control, and security automation across Cisco’s enterprise software portfolio. The post Cisco Systems (CSCO) Stock: Splunk Deepens NVIDIA and AWS Ties for Enterprise AI Tools appeared first on Blockonomi.