Vasisht Duddu, Adam Caulfield, Xi He · 2026 · arXiv
DOI: 10.48550/arXiv.2610.27543 · open-access PDF
Regulations require companies to run AI models in a regulatory sandbox, an isolated environment that enables monitoring model behavior by regulators, prior to deployment. But, they do not spell out the technical mechanisms to design such a sandbox. Ideally, a regulatory sandbox should show (i) compliance (checks against regulations, and deviations from intended behavior, i.e., unauthorized tool and system calls); (ii) confidentiality (protects model weights from regulators); (iii) attestability (produces tamper-resistant evidence of model behavior for monitoring); and (iv) scalability (evidenc
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