Your model is on Hugging Face. Its authority isn't.
Hugging Face shows the world what your model can do. It does not tell a bank, a hospital, or a regulator whether they may use it. KYE Protocol™ answers that — and proves it.
You keep building on the Hub. KYE Protocol™ binds your model to the obligations its use carries, so a regulated buyer can adopt it without guessing.
The problem: capability is solved, authority is not
The Hub answers "what can this model do?" brilliantly — weights, benchmarks, model cards, datasets. It leaves the questions that block regulated adoption unanswered.
- May you use this model in this jurisdiction, for this purpose, as this entity?
- Which obligations apply when you deploy it — EU AI Act, GDPR, DORA, SOC 2?
- Can you prove all of that to an auditor months later, from public artifacts?
The split that matters
Capability and authority are different questions. The Hub owns one. KYE Protocol™ owns the other. You need both before a regulated team can ship.
Hugging Face — capability
What the model is and what it can do: weights, evals, model card, lineage. This is where you build and compare.
KYE Protocol™ — authority
Whether you may use it here, under which obligations, with what evidence. This is what a regulated buyer asks for before adoption.
The solution: an AI Bill of Materials + a governance posture
KYE Protocol™ binds your model to an AI-BOM — the dataset, weights, and model provenance — and maps its use to the obligations each framework carries.
- Chain of Authority — KYE Protocol™ records which datasets trained which weights composed which model, under which licence.
- Obligation mapping — KYE Protocol™ maps the model's use to the obligations it carries, drawn from one canonical registry.
- Replay-Proof™ evidence — every decision seals into an evidence pack an auditor can re-verify from public keys.
- Honest scope — KYE Protocol™ certifies provenance and governance posture, not capability, safety, or fairness.
Who this is for
Three audiences feel this immediately. You are probably one of them.
- Model & dataset publishers — you want a governed signal that makes your artifact adoptable by regulated buyers.
- Regulated adopters in finance, health, and government — you must prove governance, not assert it.
- Builders of agentic systems — you need an authority check at the action boundary, not a post-hoc audit.
How you get governed
Governance is a short path, and you climb it one posture at a time.
Declare
Identify the model and capture its AI-BOM — provenance and licence. Your model is now declared.
Assess
KYE Protocol™ maps the obligations your use carries and reviews your evidence. Your model is now assessed.
Certify
A signed evidence pack backs framework coverage. Your model is now certified — and adoptable.