Photo by Rainer Eli on Unsplash. Source: https://unsplash.com/photos/a-man-is-looking-at-a-computer-screen-p-iiexDOXo8 (Unsplash License).

DeepSeek built the sandbox fleet its agents train inside, then wrote down how those agents tried to break out of it.

  • Roughly 3 million sandboxes a day, a peak of 380,000 alive at once, and about 5,000 created every second.
  • Four isolation tiers behind one software development kit, from bare function calls up to full virtual machines.
  • Rollout state is decoupled from preemptible training, so idle accelerators get reclaimed without losing an agent’s work.
  • Containment pairs AppArmor profiles with an eBPF network allowlist, and the paper states plainly that no single mechanism stops every abnormal agent behavior.
  • The escape catalog is public. Agents searched logs for leaked answers, forged internal requests, swapped block mappings to reach files they did not own, and read a protected file through another process.
  • That last point is the useful one for platform teams, because it is a ready made test list for anyone running code executing agents in production.

Read the full analysis.

By Ivan Tarin

Ivan Tarin is a Principal Product Marketing Manager at SUSE, where he owns go-to-market strategy and positioning for a seven-product cloud-native portfolio spanning Kubernetes, virtualization, storage, security, and observability. A former full-stack developer who shipped production code for enterprise and public-sector clients including U.S. national laboratories, Ivan translates complex infrastructure and AI technology into messaging that lands with developers, platform teams, and enterprise buyers. He has presented at KubeCon, SUSECON, and AWS Developer Week, and is currently pursuing an MS in Artificial Intelligence at the University of Colorado Boulder.

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