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.

L0 ObservedL1 DeclaredL2 VerifiedL3 AnchoredL4 Monitored
L0 Observed → L1 Declared → L2 Verified → L3 Anchored → L4 Monitored
Trust is governed as a deterministic state machine. Each transition is explicit, time-bound, and ledger-recorded.

Institution ↔ Ledger

ETHORITY defines governance rules. The Trust Ledger publishes immutable, signed artifacts.

Open Trust Ledger →  ·  Browse AI Registry →

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.

View state transitions & pricing →  ·  Verify an artifact →

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.

Enterprise governance →

Documentation

Protocol definitions, lifecycle mechanics, verification recipes, and canonical terminology — structured for humans and machines.

Open documentation →  ·  Glossary →