AI Agent Sandboxes: Securing Memory, GPUs, and Model Access
AI agents introduce a fundamentally different risk profile than traditional microservices or batch workloads. With access to models, memory, tools, external APIs, and sometimes direct execution capabilities, agents can observe, reason, and act in ways that expand the attack surface far beyond standard containerized applications. The question is no longer just how to scale AI, but how to securely contain it.In this live discussion with leaders from Ant Group, NVIDIA, Google, and the Linux Foundation, we’ll explore why traditional container isolation may be insufficient for agent-based systems…
The skinny
The skinny isn't ready yet — notes appear once the transcript is processed.