Skip to content

Guardrails at the Infrastructure Layer: Sandboxing and governing Agentic AI in production#

PyTorch Conference 2026 digest Program Core pick 20–21 October 2026

Abstract

Sai Charan Teja Gopaluni, Aaresh Sharma — AWS

  • Why: Agent governance is moving down from application-layer filters to infrastructure controls — K8s network policies, seccomp, runtime isolation — which is exactly the cloud-native security surface you work on. This is the zero-trust/microsegmentation conversation applied to agents.
  • What: A BoF on infrastructure-level governance of agentic AI: container sandboxing for agent tool execution (network policies, seccomp profiles, runtime isolation on Kubernetes); GPU-level resource boundaries so one agent's runaway inference can't starve safety-critical workloads; and observability as governance — audit trails, token-level logging, kill switches for agentic chains. (from abstract only)
  • How: Discussion format with a three-part agenda; no finished system or results — this is a community working session.
  • Where applicable: Kubernetes-centric and generalizable across environments; a good venue to contribute a networking/identity practitioner's lens to an emerging practice.