I attended RSAC this year and one thing was clear: AI is no longer the differentiator. Everyone has it. Everyone is talking about it. The real question organizations are now asking is: how do we operationalize AI, especially agentic AI, in a way that actually works inside the SOC? And the answer that kept surfacing across conversations, sessions, and customer meetings was this: The future of the SOC is not more tools…it’s a platform strategy. From AI Experiments to SOC Execution Agentic AI introduces a new model for security operations, one where systems don’t just detect, but investigate, recommend, and even act. But that only works if AI has access to the right data, the right context, and the ability to take action across environments. That’s where many organizations are hitting friction today. Data is still fragmented. Workflows are still siloed. Teams are still operating across disconnected tools. You can’t scale AI in that environment. To truly unlock agentic AI, organizations are realizing they need a unified data and operations layer—a platform that brings everything together.   Why Platform Strategy Is Becoming the SOC Strategy A platform approach does three critical things: Unifies data across security, IT, and engineering teams Provides shared context for faster, more accurate decisions Enables coordinated action, not just isolated alerts This is exactly the foundation needed to move from reactive SOCs to resilient, AI-powered operations. And it’s not a future vision, it’s already happening. Splunk has long been focused on bringing SecOps, ITOps, and engineering together through a unified platform to drive digital resilience. Splunk Platform: Built for the Agentic Era What stood out at RSAC is how aligned this shift is with where Splunk is already delivering value today. The Splunk platform provides: End-to-end visibility across hybrid and multi-cloud environments A shared data layer that powers both security and observability use cases AI-driven analytics to accelerate detection, investigation, and response In other words, the exact ingredients required to support agentic workflows at scale. But what’s becoming even more critical, especially as data volumes explode, is how organizations access and manage that data. Federated Search: Powering AI Without the Cost Tradeoffs This is where Federated Search becomes a game changer. Instead of forcing organizations to ingest everything into a single system, federated search allows teams to: Access and investigate data wherever it lives Correlate across environments without duplicating data Optimize cost while still enabling deep investigations This flexibility is key in an AI-driven world. Because agentic AI doesn’t just need more data, it needs access to the right data, at the right time, without unnecessary cost or complexity. Federated search enables that balance: Ingest for speed where needed Federate for scale and cost efficiency where it makes sense Final Thought: The SOC Is Becoming a System, Not a Stack RSAC made one thing clear: the conversation has shifted. We’re moving from: Tools → Platforms Alerts → Actions AI experiments → AI-driven operations Organizations that embrace a platform strategy will be the ones that successfully operationalize agentic AI. And with a unified platform and federated data access, they won’t just keep up they’ll lead.   ... View more