AI agents need to run code, call APIs, and fan out in parallel - but doing that safely at scale is hard.

This session shows how to build agentic workloads on hardware-isolated, sub-second, disposable compute that agents can provision themselves. Watch a live research-agent swarm spin up a fleet of secure sandboxes in parallel, run real work in true isolation, and tear it down automatically - with keyless auth throughout.

Powered by Azure Container Apps Sandboxes. You'll learn
• Why untrusted agent code and multi-agent fan-out break traditional container/VM approaches
• The pattern for safe, ephemeral, per-agent compute: isolation, instant start, scale-to-zero, snapshot/resume
• How agents can self-provision compute as a tool to extend their own capabilities
• Controlling blast radius with hardware isolation, egress policies, and keyless managed identity
• A working orchestration pattern for parallel agent swarms you can adapt to your own workloads