For 20 years, Splunk has been the data platform that delivers digital resilience – one of our customers’ most important business outcomes. Now Splunk is more important than ever.

We are facing the double-edged sword of AI. In a recent Splunk study, we found that 56% of technology decision-makers are deploying autonomous agents, but only 39% have the governance to back it up.

With AI agents, organizations can do more, better, and faster. But without the right approach, those agents create an explosion of data that makes it harder to trust and monitor their work across the entire digital footprint and leverage AI cost effectively.

Splunk has risen to the occasion  

We heard from Splunk customers that they need a new approach to navigate the AI era with ease and without friction of the past.

Over the last two years as part of Cisco, we’ve focused on two critical things to make this happen for customers:

1. Integrating our data platform with Cisco’s industry-leading solutions to give customers unparalleled access and visibility to their data, busting down silos
2. Making Splunk simpler and more cost effective than ever before so organizations can trust AI, secure AI and afford it

We’re helping customers operate with the speed and scale that the AI era demands. This evolution is focused on three core pillars:

1. Turning machine data into agentic action
   With the Cisco Data Fabric, powered by Splunk, customers gain a new architecture that connects and analyzes distributed machine data where it lives without the cost of moving it. This makes the Cisco Data Fabric is the system of record and intelligence for the agentic enterprise. Through this architectural approach, we make the data ready and available for trusted AI.
2. Defending at machine speed
   Traditional Security Operations Centers are struggling to keep pace with mounting data volumes and stop AI-enabled breaches before they land. Splunk is evolving the SOC from a human-driven to an agentic-led model, where purpose-built AI integrates directly into security workflows, empowering security teams to move with speed, scale and confidence.
3. Optimizing AI at scale
   Organizations need to trust every AI interaction. That means having the ability to secure, govern, and observe the full stack and do so economically. Splunk helps optimize AI by providing guardrails and cost governance within the platform for trusted, high-speed, efficient AI-driven workflows.

This approach gives customers what they need in the AI era. It’s possible because Splunk has entered a new chapter where the limitations of the past have been completely blown away.

Next week in our global keynote at .conf26 customers will see Splunk Reimagined. They will be able to experience these innovations firsthand in demos, labs, the Builder Bar, and something new this year: the Builderthon, where anyone can build a working AI agent using Agent Launchpad without coding experience or AI expertise.

If you can’t see it come to life in person, be sure to watch the Global Keynote and follow Splunk on LinkedIn for the latest announcements.

Learn more:

• Machine Data Outlook: Operationalizing AI in the Enterprise
• Digital Resilience in the Agentic Era at Splunk .conf26
• From Vision to Value: New Splunk Platform Innovations Supporting Cisco Data Fabric Are Generally Available
• The Great Telemetry Debate: Why AI-Ready Operations Require a True Data Fabric