The hard part of AI in the cloud isn't scaling anymore—it's governing agents that act on your infrastructure on their own.
Autoscaling and workload optimization are no longer the challenge. They're commoditized—built into the cloud platforms and AIOps tools you already use. The real shift begins when AI stops recommending and starts acting: agents that provision, deploy, and change your infrastructure on their own.
This session focuses on the part most teams underbuild—trust boundaries, blast radius, and policy-as-code that keeps an agent inside its guardrails. The principle worth holding onto: agents earn autonomy, they don't start with it. You'll leave with a clear approach for building AI systems that scale without handing over control you can't take back.