Proposed
Know-your-customer for high-risk biological queries
Friction, identity, and human review when a session crosses a capability threshold.
No compiled flow or public database names this control yet.
Who should own it
Labs and cloud hosts
Frontier labs
How quickly it can land
Weeks
A dedicated squad can land it inside two months.
Expedited implementation
4 weeks
30 calendar days with a crash team
Normal implementation
4 months
120 calendar days as a planned program
Risk this mitigates
19Given that peer-reviewed work claims models can author viral genomes, not merely analyse them, while some frontier labs have dissolved dedicated preparedness staff, there is a possibility of a capable actor using a general model to design, order, or troubleshoot a biological threat resulting in a high-consequence biological event whose know-how no longer required a national laboratory.
Residual composite 19 · still above the threshold
Effect if implemented
Applied to every failure scenario on that risk, then re-ranked. Axes are clamped at 1.
- Likelihood
- −1
- Consequence
- −0
- Urgency
- −1