Why You Can't Miss .conf25: Unleashing the Power of Agentic AI with Splunk & Cisco

[iamryan]

The Defining Technology Movement of Our Lifetime

The advent of agentic AI is arguably the defining technology movement of our lifetime. The recent pace of advancements in AI has a transformative power that is more profound than anything I have seen before. It is more critical than ever for organizations to keep up with these new AI opportunities, while also understanding the complexities that they bring.

The Agentic AI Era Demands Resilience

Solving these challenges to ensure digital resilience for organizations is why I came to Splunk. The solution requires three key components:

1. Data at scale, unified and contextual
2. Agentic AI for autonomous, cross-domain analysis, reasoning, and action
3. Interoperability to break down silos

Data at Scale, Unified and Contextual 

The synergies between Splunk and Cisco for delivering the value of data at scale, unified and with context for customers, cannot be found anywhere else. Much of the world’s machine data runs through Cisco networks, bringing unmatched visibility from infrastructure telemetry across networks, security, and applications, with the reach needed to connect the entire digital economy. Splunk is a market-leading data platform that processes petabytes of machine data every day. Splunk offers unmatched capabilities to access, normalize, and correlate machine data, turning fragmented data silos into a unified, real-time view with context for actionable insights at a massive scale. 

Agentic AI for Autonomous, Cross-Domain Analysis, Reasoning and Action

In terms of agentic AI, this is where Cisco and Splunk will shine by infusing agentic ability to autonomously reason, adapt, and act to supercharge our product portfolio and also create new solutions.  

We have been working to revolutionize Splunk’s data platform with AI-native capabilities to manage the entire machine data life cycle from visibility to insight. We are laying the foundation for agentic SOC, observability, and network assurance, all while providing important guardrails to help improve AI application stack security, compliance and performance. The power of AI will ultimately come from your data, and we’re working fast to make it even easier for you to use your data to customize AI for your business.

Interoperability to Break Down Silos

Breaking down silos with interoperability and extensibility is table stakes. This is core to Splunk’s DNA—from REST APIs and SDKs, federation across other data sources and hybrid environments, to supporting open standards like OTel (Open Telemetry) and OCSF (Open Cybersecurity Schema Framework). We are adopting emerging open AI standards, like Model Context Protocol (MCP), A2A, and others, to allow for easier connections between agents and the Splunk platform. Related to this, we recently announced the release of MCP server for Splunk Cloud Platform—look for more to come in this area. Interoperability is crucial for gaining complete data insights to close blind spots and improving productivity by automating process workflows.

Let’s not forget this is a human revolution, too. Agentic AI should act as an assistant to surface insights, automate routine actions, and allow analysts and engineers to focus on higher-value work. Human-in-the-loop (humans added into the AI workflow) and human-on-the-loop (humans managing agents) frameworks help ensure that AI-driven actions are always guided by organizational context, values, and policies.

When you take into account how Splunk and Cisco can deliver the combination of these three elements, the result is the new foundation for an AI-native Splunk!

Your Invitation to .conf25 in Boston

Don’t miss your chance to be part of Splunk’s biggest event of the year! Register now for .conf25 in Boston, Sept. 8–11, to see groundbreaking innovations unveiled, connect with industry leaders like Jeetu Patel, and get hands-on with the next generation of Splunk solutions. Secure your spot today and help shape the future of digital resilience!