The Model Knows It. That Doesn't Mean It Should Tell You.

As scientific AI becomes more capable, restricting what models know is not the answer. The challenge is determining who has authority to access sensitive knowledge, under what conditions, and whether that authority remains valid when disclosure occurs. Chris Ciappa examines how Samirac's Drift Stack™ and SAQ™ architecture apply execution-boundary control, runtime admissibility, and external correction to high-risk scientific capabilities without sacrificing legitimate research.