Genesis Governance and Assurance

AI assurance

Executable assurance requirements for identity, authority, evidence, privacy, and recovery in agent systems.

The Genesis assurance work develops an explicit contract for the complete action path of an AI system: its identity, permitted scope, model admission, execution evidence, review, and recovery. CAP-AI defines the technical profile, while CIV levels specify increasingly demanding assurance conditions. The accompanying privacy and federated-verification work studies how assessors can verify a relevant claim without demanding unrelated raw prompts, private data, or secrets. These documents form one connected initiative, with open questions on independence, common-mode failures, offline evidence, and proportionate review.

Evidence priorities

Make progress measurable.

The initiative is framed around testable questions. Its research direction should be assessed against observed evidence and the limits of each experiment.

• Testable identity, authority, evidence, and recovery requirements
• Independent and adversarial evaluation of an assurance claim
• Privacy-preserving verification without unnecessary raw-data disclosure

Research goals and proposed mechanisms are not established findings. Product-linked tracks describe the research behind a capability, rather than a claim that its hypotheses have been validated.