How OpenAI Safely Tested GPT-6 Astra After It Flagged Cybersecurity Concerns
When OpenAI's internal evaluation suggested GPT-6 Astra may have crossed a critical cybersecurity capability threshold, the company paused testing and significantly tightened the infrastructure around the model before resuming. This involved stricter network isolation, controlled and fully logged internet access, and independent action monitoring on systems the model itself could not influence. Engineers also maintained kill switches and ensured all model-induced changes remained reversible throughout the evaluation. These measures reflect established infrastructure principles — such as air-gapping, default-deny egress, and blast-radius containment — applied at an extreme scale. The same framework, experts note, should guide how any AI agent is granted access to real systems, even in everyday cloud environments.
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