01
Cross-lab synthesisLab Distillation
Aggregating findings across frontier labs that cannot legally share with each other. Whitewashing attribution. Producing usable synthesis for federal decision-makers.
Aggregate, translate, and convene.
Synthesis across labs that cannot legally exchange findings. Translation across the public–private gap. Convening on neutral ground.
Federal leaders and the labs they depend on.
The Pentagon, the Intelligence Community, Congress, allied institutions — and the frontier labs producing the capability.
A structural gap between capability and the institutions that must field it.
A gap no single lab, agency, or administration can close on its own — and one that widens with every model release.
Frontier AI labs cannot share findings with one another directly. Government cannot keep pace with the technical depth or velocity of release. A clearinghouse aggregates, anonymizes, translates, and settles between counterparties who are structurally prevented from doing it themselves — and most of that work isn't being done.
The gap between frontier AI labs and federal decision-makers is not a coordination problem. It is a structural condition with three load-bearing causes — each one sufficient on its own to require a clearinghouse.
Frontier labs cannot share findings with one another directly without antitrust exposure. The information that most needs to circulate is the information they are most constrained from circulating.
Labs cannot speak publicly about competitor capabilities or national security threats their own systems surface. Attribution risk silences the early-warning channel the country most needs open.
Government lacks the technical depth, contracting speed, and forecasting capacity to keep pace — let alone alert labs to imminent risks. The asymmetry compounds with every model release.
Operating model
Each lane operates independently, but draws on the same engine: aggregation across labs, translation across the public–private gap, and synthesis into formats decision-makers can act on.
01
Cross-lab synthesisAggregating findings across frontier labs that cannot legally share with each other. Whitewashing attribution. Producing usable synthesis for federal decision-makers.
02
Pentagon-facingwith Scale AI
A framework for evaluating frontier models against specific national security use cases. Built with Scale AI; oriented to the Pentagon's acquisition and T&E processes.
03
Greenfield researchFoundational work on how frontier AI affects strategic equilibrium between nuclear powers. The first sustained research program on AI in the deterrence equation.
04
Federal cohortwith George Mason University
A week-long certification for federal policymakers — on AI policy, not vendor tooling. Co-developed with George Mason's Schar School of Policy and Government.
"Frontier AI is a strategic moment whose hardest decisions will be made inside the institutions it is reshaping."
If you build, deploy, govern, or oversee AI in a national security context, Frontier Security Institute exists to make your next decision easier and your next deliverable land harder.