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[ARTICLE · art-150028] src=runtimewire.com ↗ pub= topic=ai-safety verified=true sentiment=↓ negative

White Circle open-sources RISE after finding image-model safeguards still fail

White Circle, a Paris-based AI safety company, has open-sourced RISE, a red-teaming system that searches for reusable ways to bypass image-generator safeguards, after reporting a 13.3% human-verified attack rate on DALL·E 3 and higher rates on two newer image models from OpenAI and Google DeepMind. The company's announcement on X calls for independent third-party monitoring of AI models, and White Circle says its results show a public, non-frontier model can probe commercial image safeguards.

by read1 min views4 publishedOct 14, 2026
White Circle open-sources RISE after finding image-model safeguards still fail
Image: Runtimewire (auto-discovered)

The Paris-based AI safety company reports a 13.3% human-verified attack rate on DALL·E 3 and higher rates on two newer image models.

        By [Ryan Merket](https://runtimewire.com/author/ryan-merket)
        · Published 

Primary source: [X](https://x.com/whitecircle/status/2110420697814114693)

Why it matters #

RISE makes the measurement problem in AI red-teaming concrete: attack rates depend on what counts as a violation and how the judge is calibrated. White Circle's results also show that a public, non-frontier model can probe commercial image safeguards, strengthening the case for independent evaluation while leaving open how outside testers will gain durable access and independence.

White Circle has open-sourced RISE, a red-teaming system that searches for reusable ways to get image generators past their safeguards. The company says its tests found human-confirmed prohibited images on DALL·E 3 and newer models from OpenAI and Google DeepMind. Its announcement on X calls for independent third-party monitoring of AI models.

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