Would frontier labs trust third-party trust signals?
Research and validation project
Trusted AI Access Infrastructure
Researching whether trusted-access infrastructure could support more precise governance of restricted frontier AI capabilities.
As frontier AI capabilities become more powerful, governments and model providers face a difficult challenge: how to reduce misuse without imposing broad restrictions on legitimate users. This project examines whether identity-bound access, use-case review, revocation processes, and audit evidence could support a more precise approach.
Request a conversationProvider Authority
Identity Signal
Use-Case Review
Revocation State
Evidence Record
Current Research Focus
Research Focus
- Frontier AI access
- Cybersecurity
- Export controls
- Trust infrastructure
- Auditability
- Risk management
- Critical infrastructure defense
- AI safety and evaluations
The Problem
The Access Problem
Restricted frontier AI access is increasingly becoming an all-or-nothing decision.
When providers cannot confidently distinguish between trusted and prohibited users, the safest operational response may be broad restrictions.
That approach may also impact:
- Cyber defenders
- Critical infrastructure operators
- Researchers
- Regulated enterprises
- Safety evaluators
- Allied institutions
The Hypothesis
Working Hypothesis
A trusted-access control layer might support more precise access decisions through:
- Identity-bound access signals
- Organization review
- Use-case review
- Provider-controlled oversight
- Revocation status
- Audit evidence
This project is currently in discovery and validation.
How It Works
How the Loop Could Work
- Apply
- Review Person
- Review Organization
- Review Use Case
- Provider Decides Scope
- Observe
- Alert
- Review
- Limit or Revoke
- Record Evidence
Current Research Questions
Questions Under Review
What legal issues would make this impossible?
What evidence would government require?
Would cyber defenders use this?
What would make the system credible?
Who actually owns this problem?
Who would pay for this if it is real?
What should never be outsourced to a third party?
About
About the Research
Eric Vogt is conducting early-stage research into whether trusted-access infrastructure could support more precise governance of restricted frontier AI capabilities while respecting safety, security, legal, and policy requirements.
Current purpose: the goal is to speak with experts, pressure-test the idea, identify fatal flaws, and determine whether this should become a standards effort, pilot project, research agenda, company, or be abandoned.
Who I'm Looking to Speak With
Expert Conversations
- Frontier AI policy and security teams
- Cybersecurity leaders
- Export-control attorneys
- Standards experts
- Government and former government officials
- AI governance researchers
- AI safety and evaluation organizations
- Critical infrastructure security leaders
Request a Conversation
Request a Conversation
If you work near this problem, I would appreciate a 20-minute conversation. I am looking for criticism and practical guidance, not validation.