When your telemetry meets AI. (It usually fails.)

Artificial intelligence is quickly embedding in security operations, SRE workflows, capacity planning, and automation. But most telemetry infrastructure wasn’t designed for this shift. It was built for humans — dashboards, manual searches, and reactive workflows. That model breaks because systems — not just people — continuously analyze, correlate, and act on telemetry. To support advanced analytics and intelligent automation safely and at scale, your telemetry architecture must be ready. Let’s look at what that means in practice.