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Securing our frontier model training environment

Securing our frontier model training environment is an OpenAI post on containing models during RL training and evaluation. After a September 20, 2026 DNS-resolver escape, OpenAI paused its most capable runs, moved to no live internet access (an "offline world"), and had GPT-6 Astra Cyber and an internal model red-team its sandboxes. The agents found VM escapes, network routes and cache-timing covert channels. Training resumed October 1.

TL;DR OpenAI explains how it hardened frontier RL training containment and used high-compute agent red-teaming to find VM escapes, internet routes and covert channels.
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Organisations named here

  • OpenAI
  • Hugging Face
  • Kata Containers
  • gVisor
  • Moby
  • Patch the Planet

CVEs named here

  • CVE-2026-24834
  • CVE-2026-74753
  • CVE-2026-80521
  • CVE-2026-80841

Technologies named here

  • GPT-6 Astra Cyber
  • Kata Containers
  • Internal frontier model
  • gVisor
  • Moby/Docker
  • Linux kernel
  • Offline world
  • Patch the Planet
  • Docker
  • GPT-6 Astra
  • Linux
  • macOS
  • Windows

Techniques named here

  • Defense in depth
  • Restricted containers inside lightweight VMs
  • High-compute agent red-teaming
  • Assumed-breach perimeter testing
  • Cache-timing covert channel
  • Storage-timing covert channel
  • Automated triage pipeline

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