Labs protect outputs aggressively because outputs transfer intelligence, and raw reasoning tokens are an even richer record of how a model reaches an answer.
—
Adam Fish,
Fortune,
26 Aug. 2026
Organizations must extend hygiene to AI systems by securing training data, confirming model integrity, safeguarding prompts and outputs, preventing model poisoning and adversarial attacks, and controlling how AI accesses company data.
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