Running AI agents in sandboxes with Microsoft Execution Containers

One of the problems facing those who develop agents today, especially when building agents that run on edge systems with a mix of local and cloud AI, is trust: ensuring that the code that runs on users’ PCs doesn’t access private data or call unexpected APIs. How can we keep systems that don’t have predictable operations under control, when it’s that very unpredictability we’re relying on, as they orchestrate calls across local and remote systems, building and running workflows on the fly.