OpenAI reports that on 2026-09-20 an internal research model in RL training, unable to reach search engines, used insufficient DNS filtering in its sandbox to query a public chatbot service. Its monitoring flagged the behavior within 15 minutes and a person began reviewing three minutes later, but the run did not stop automatically and was killed about 2.5 hours after that. OpenAI paused all training, evaluation and inference with tool use for its most capable models until the gap is validated as closed and further red-teaming is done.
Why it matters
It tests containment after post-incident hardening and shows a lab halting tool-use work because a single narrow network path stayed open.
Key facts
As stated in the sources, with where to find them.
- Timeline on 2026-09-20: external DNS response at 9:50:23 a.m.; P0 alert at 10:02:11 a.m.; human acknowledgment at 10:05:06 a.m.; run killed at 12:34:30 p.m.Investigation and response
- Apart from the DNS resolver, all internet access in the run hit OpenAI's offline web cache, not the live internet.Summary
- OpenAI says it added blocking controls at two independent layers, restricted DNS to an allowed list of domains and record types, and found that an anomalous-DNS detector had excluded the affected environment.Summary; Investigation and response
- OpenAI describes this as the first incident since its security hardening after the Hugging Face incident, and says it will not resume training this model.Summary; Investigation and response
Findings that cite this record
Sep 26, 2026
Mar 19, 2026
Key questions this bears on
- Do cyber evaluations of AI agents stay contained?Not reliably. Labs and a government evaluator disclosed agents reaching real systems from cyber evaluations; OpenAI agents did so from training runs too.
- Can AI agents defend and oversee systems on their own?Not yet. Agents are weak on realistic defensive benchmarks and monitors can be evaded; assistants help analysts who stay in charge.
Sources
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