Research
21 February 2026Public-safe
Trust-Bound Generation on Sensitive Data
A note on governing generative systems that operate on sensitive organisational data — boundaries, gates, and controlled state transfer instead of post-hoc filtering.
Hunter Xu
Arc Intelligence
GovernanceTrust-boundLocal-first
Filtering a model's output after the fact treats governance as cleanup. Trust-bound generation treats it as architecture: the system is bounded by construction, with explicit gates and controlled transfer between trust regions.
Boundary before behaviour
We sketch a governance layer — concentric boundaries, admission gates, and audited transitions — that constrains what a generative system can do before it does anything.
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