Seeing Is Believing: Unified Observability In Action | Report

We hear from teams we speak to that they often only learn about critical problems after customers do. In distributed environments, small failures can hide across services, costing valuable response time, whilst the fragmented telemetry in modern businesses makes this problem even worse.

However, IT leaders know that AI tools can handle repetitive analysis at scale: correlating signals, filtering noise, and flagging unusual behaviour. That gives teams a clearer starting point, understanding what changed and where, without beginning every investigation from scratch.

In this report, we showcase how we are helping our customers to make the AI shift with Splunk by aligning AI-driven detection and investigation with existing ITOps (IT Operations) and SecOps (Security Operations) practices, so that a proactive response becomes part of everyday operations, not an exception.