Get Agentic with Splunk Lantern: Connect to Cisco Cloud Control, Transform Observability Data, and More

[KayeChapman]

Splunk Lantern is Splunk’s customer success center that provides practical guidance from Splunk experts on key use cases for Security, Observability, Industries, AI, and Cisco. We also host valuable data source and data type libraries, Getting Started Guides for all major products, tips on managing data more effectively within the Splunk platform, and many more expert-written guides to help you achieve more with Splunk. 

In this month’s blog, the agentic era takes center stage. Our two featured topics both explore how AI agents are changing the way teams operate - working alongside humans to investigate, correlate, and resolve issues faster than ever. First, we're spotlighting brand-new content on connecting the Splunk platform to Cisco Cloud Control and AI Canvas, recently unveiled at Cisco Live. Then, we're diving into how the Agentic AI Assistant is transforming observability data into actionable intelligence. Plus, we've got a range of other new articles covering security operations, compliance, and more. Let's get into it!  

Connecting the Splunk platform to Cisco Cloud Control and AI Canvas 

Recently unveiled at Cisco Live, Cisco Cloud Control is the unified operations platform that brings every Cisco domain - networking, security, AI infrastructure, observability, and collaboration - into one single pane of glass. It's designed for the agentic era, providing a governed, observable control surface where human operators and AI agents can work together across the full IT estate. This month, we've published a set of articles to help joint Cisco and Splunk Cloud Platform customers connect to this powerful new environment. 

Our overview article, Connecting the Splunk platform to Cisco Cloud Control and AI Canvas, explains what the integration delivers for joint customers: single sign-on, seamless cross-launch between platforms, access to Splunk data and skills within AI Canvas, and Splunk AI Assistant capabilities surfaced through the Cisco Unified AI Assistant. AI Canvas itself is the collaborative, multiplayer workspace where agentic investigation and resolution happen, with persistent context that survives escalations and handoffs. 

From there, two step-by-step guides walk you through the setup. Integrating Splunk Cloud Platform with Cisco Cloud Control covers the full onboarding process for both admins and end users - from signup and approval through to connecting your Splunk tenant. Integrating Splunk Cloud Platform with AI Canvas picks up where that leaves off, guiding you through installing the Splunk AI Assistant and the Splunk MCP Server, and configuring user access so your teams can start collaborating with AI agents. 

If you're a joint Cisco and Splunk customer looking to begin your AgenticOps journey, these articles are the perfect place to start. Let us know in the comments below how you're planning to use Cisco Cloud Control and AI Canvas! 

Transforming Observability Data into Intelligence with the Agentic AI Assistant 

 The Splunk Observability Cloud AI Assistant has evolved from a generative tool into an agentic one - and our new article, Transforming observability data into intelligence with the Agentic AI Assistant, explains what that shift means for you. Rather than relying on a language model to figure out every troubleshooting step from scratch (which can be slow and inconsistent), the Assistant now recognizes your goal. It triggers purpose-built, battle-tested investigation workflows to deliver more consistent, accurate, and repeatable results. 

The article walks through the latest capabilities, including generalized Q&A with links to documentation, context-aware responses via automatic screen capture, a flexible AI-native interface with full-screen and floating modes, PDF exports for sharing findings, chat history to resume investigations, and smart prompt suggestions. It also outlines the full range of product areas the Assistant covers - from APM and infrastructure to logs, RUM, synthetics, and SignalFlow generation - so you can troubleshoot across your entire observability stack using natural language. 

Let us know in the comments below how you're using AI in your observability practice - we'd love to hear about it! 

What Else is New? 

Beyond our featured topics, we've published several more articles covering security operations, compliance, threat hunting, and platform performance: 

• Comparing search head hardware changes and their impact on Splunk platform search performance 

• Integrating Cisco Secure Access with Splunk for essential SOC operations 

• Automating RMF processes with Qmulos Q-Compliance and the Splunk platform 

• Detecting insider threats with Qmulos Behavior Analytics and the Splunk platform 

• Detecting distributed service abuse with in-stream VPC flow aggregations 

• Implementing real-time cloud application threat detection with Secure Application and Enterprise Sec... 

We hope these new resources help you tackle your toughest data challenges this month. Thanks for reading! 

- Kaye Chapman, Senior Lantern Content Specialist for Splunk Lantern

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