AI Trust Infrastructure Layer
ETHORITY defines and monitors the trust lifecycle of AI systems.
Trust is not a certificate. It is a governed lifecycle. Through explicit state transitions, cryptographic anchoring, and continuous monitoring, trust becomes durable over time.
Verification alone does not survive time
AI systems evolve. Models are updated. Deployments drift. Documentation decays. A one-time review cannot guarantee continuity. Trust requires lifecycle governance.
Institution ↔ Ledger
ETHORITY defines governance rules. The Trust Ledger publishes immutable, signed artifacts.
Platform surface
A protocol institution with a runtime core
Institution defines. Ledger records. Governance enforces continuity over time.
Verification is not permanent without monitoring
A verified system that changes without oversight reverts to uncertainty. Monitoring preserves continuity. Lapses trigger state degradation under explicit rules.
Enterprise governance & implementation
For complex or high-risk environments, ETHORITY provides structured onboarding, audit integration, and monitoring deployment support. This supports the protocol. It does not replace it.
Documentation
Protocol definitions, lifecycle mechanics, verification recipes, and canonical terminology — structured for humans and machines.