Semantic Substrate

Make offer

The substrate coordinate linking trust signals to their verifiable source.

A precise .ai position for systems that trace the origin and chain of custody of trust — where trust claims are attributed to the agents, data, or decisions that generated them.

Coordinated sets this position belongs to — the coverage it extends. Counts are the live cluster size in the graph.

Primary home

Trust cluster69

Also appears in

Attribution cluster357

Architectural context

Trust · Cross-Vertical · 2 compound moats. Architectural surface: Attribution. Cross-cutting: Trust.

Layer position: Substrate (L1)

AttributionTrust

Why this is canonical

'Attribution' is the technical act of tracing an output or claim to its source with verifiable provenance. 'Trust' is the property being attributed — the core question in AI governance, content authenticity, and agent delegation being: whose trust signal is this, and where did it come from? The combination on .ai names the provenance substrate for trust in machine systems.

Where it fits

A few directions this coordinate opens —

AI governance and model accountability
The layer that traces trust assertions in AI-generated outputs back to the models, agents, or human principals that produced them.
AI governance platforms, model audit infrastructure, enterprise AI compliance
Content authenticity and provenance
Attribution infrastructure for signals of trustworthiness in digital content — who vouched for it, through what chain, and under what conditions.
Content authenticity platforms, media trust infrastructure, C2PA-adjacent builders

Illustrative, not exhaustive — held as a transferable canonical position, open to the buyer's own use.

← More in Trust