OpenAI Plans to Train on Previously Off-Limits Cybersecurity Data
OpenAI plans to include previously excluded Daybreak Blue cybersecurity session data in model training starting November 29. The move triggered immediate backlash from researchers and users, forcing OpenAI to promise a separate opt-out mechanism, while raising significant concerns about data ethics and trust boundaries for AI labs.
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OpenAI plans to train models on Daybreak Blue cybersecurity session data that was previously off-limits
[Matthias Bastian](https://the-decoder.com/author/matthias-bastian/) [View the LinkedIn Profile of Matthias Bastian](https://www.linkedin.com/in/matthias-bastian-128b71b1/) Oct 31, 2026 
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Starting November 29, OpenAI will use Daybreak Blue session data to train its models. An email to Trusted Access program members confirmed the change. Previously, this data was excluded from training, even when users had the "improve the model for everyone" setting turned off. Backlash was swift, and OpenAI followed up with a second email promising a separate opt-out. Interactions flagged during safety reviews can still be used for safety purposes.
OpenAI's email to Trusted Access members about the policy change for Daybreak Blue sessions.
The change has researchers worried about a repeat of the Buckmaster-Alpöge case. Mathematicians Tristan Buckmaster and Levent Alpöge uploaded Navier-Stokes equation drafts to OpenAI's Codex. OpenAI soon presented its own proof but denied using their inputs for training. But the suspicion alone was enough to show researchers what could go wrong.
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