Trust Infrastructure Terms, Clearly Explained
A practical glossary for buyers, operators, governance teams and enterprise stakeholders navigating AI trust.
Key definitions
AI Assessment
A structured review of AI systems, governance readiness, risk exposure and trust-related operational gaps.
Observed
A system is publicly visible within the ETHORITY trust model, without implying endorsement or verification.
Verification
A structured trust step that connects defined evidence, lifecycle logic and public trust signals.
Monitoring
Ongoing oversight intended to maintain trust continuity as systems evolve over time.
Trust Lifecycle
ETHORITY’s model for how AI trust changes through explicit states and transitions.
Trust Ledger
The append-only evidence layer that records trust-relevant events and historical continuity.
Registry
The discovery and public identity layer for AI systems and trust visibility.
EU AI Act Readiness
The practical ability of an organization to explain, govern and oversee AI usage in a structured way.
Public Trust Signal
An external sign that an AI system has entered a structured trust process, such as registry presence or verification status.
Procurement Trust
The level of confidence buyers, enterprise evaluators or partners have in an AI system’s governance posture.