Splunk is extending AI SRE in Splunk Observability Cloud from incident diagnosis to code-level remediation.

Announcing an expanded strategic partnership with NVIDIA to bring accelerated AI capabilities directly to our Splunk Enterprise customers.

Announcing an expanded strategic partnership between AWS and Splunk to help customers succeed in the agentic era.

Splunk is expanding its Agentic SOC Workforce with a set of new purpose-built skills, across detection, investigation, response, and governance.

Why trusted autonomy is becoming the operating model for modern security operations.

Congratulations to all of our 2026 Splunk Regional Partner Award Winners!

At .conf26, Cisco is unveiling new Splunk Observability innovations.

Two new capabilities extend Splunk Observability with the network and internet context teams need to understand digital experience from application to user.

We’re introducing splunkctl, the new Splunk CLI purpose built for the agentic era, and expanding the library of Splunk Agent Skills.

We’re introducing Business Journeys in Splunk Observability Cloud.

Three Critical Gaps in Multicloud Machine Data—and How Cisco Data Fabric Closes Them

Why machine data needs an operational foundation—not just a storage destination

AI-Powered Data Management helps teams turn raw, changing machine data into trusted, usable signals faster.

We recently announced the general availability of new Splunk Platform innovations supporting Cisco Data Fabric.

Machine Data Lake, Catalog, and Agent Launchpad, together with expanded Federated Search and Data Management capabilities, are now generally available.

Announcing the general availability of Splunk Agent Launchpad, a no-code way of building agents within your Splunk environment with your RBAC.

Together, Splunk and AWS deliver an integrated solution that accelerates detection, investigation, and response workflows.

MCP gives AI agents a standardized way to connect to tools, systems, and data sources, but connectivity alone does not create operational truth.

Are your AI agents causing outages? Learn how to implement clear guardrails and observability to ensure AI acts reliably within your production environment.

Agentic AI workflows require new forms of observability that track decisions, tool usage, and interactions across multiple agents.