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DSec: sandboxes for training agents at scale

On September 23, 2026, an article on DSec described elastic, stateful environments for agent training and evaluation, as well as defenses against agents that exploit training environments.

Published on September 23, 2026, the DSec article describes elastic, stateful sandboxes for training and evaluating agents at scale. The design addresses different isolation requirements and creating environments during demand spikes. The text also reports defenses against agents that exploit their training environments.

The article notes that sandbox design affects scale, efficiency, and security in agent training and evaluation. To consult and verify the details, find the original publication by the title “DSec” and check its stated scope and reported findings; the available summary provides no further measures or figures.

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Curation · AgentLog

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