Your dataset is on Kaggle. Its authority isn't.

Kaggle shows the world what your dataset or 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.

Your dataset is on Kaggle. Its authority isn't., point by point

Demo data

You learn: The page's points, one at a time. You can: Step through them.

  1. Step 1 of 4

    KYE Protocol™

    Chain of Authority

    KYE Protocol™ records which datasets trained which weights composed which model, under which licence.

  2. Step 2 of 4

    KYE Protocol™

    Obligation mapping

    KYE Protocol™ maps the artifact's use to the obligations it carries, drawn from one canonical registry.

  3. Step 3 of 4

    KYE Protocol™

    Replay-Proof™ evidence

    every decision seals into an evidence pack an auditor can re-verify from public keys.

  4. Step 4 of 4

    KYE Protocol™

    Honest scope

    KYE Protocol™ certifies provenance and governance posture, not capability, safety, or fairness.

How this widget is built
Demonstrates
KYE Protocol™
Components
  • The points this page makes
Flow
Each point in order, as the page sets it out. Architecture diagram
Used on
  • /kaggle/: On this page, after its opening.

You keep building on Kaggle. KYE Protocol™ binds your dataset or model to the obligations its use carries, so a regulated buyer can adopt it without guessing.

See where KYE Protocol™ sits in the AI value chain

The problem: capability is solved, authority is not

Kaggle answers "what can this dataset or model do?" brilliantly — datasets, notebooks, competitions, leaderboards. It leaves the questions that block regulated adoption unanswered.

  • May you use this dataset or 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. Kaggle owns one. KYE Protocol™ owns the other. You need both before a regulated team can ship.

Kaggle — capability

What the dataset or model is and what it can do: data, notebooks, competition scores, 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 dataset or model to an AI-BOM — the dataset, weights, and model provenance — and maps its use to the obligations each framework carries. Kaggle is governed by the identical contract as Hugging Face — one model-governance root, two sources.

  • Chain of Authority — KYE Protocol™ records which datasets trained which weights composed which model, under which licence.
  • Obligation mapping — KYE Protocol™ maps the artifact'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.

Dataset

provenance · licence

Weights

training lineage

Model

Kaggle artifact

KYE™ binding

AI-BOM · authority

Obligation map

EU AI Act · GDPR · DORA · SOC 2

Evidence Pack™

Replay-Proof™ · public keys

The Chain of Authority: dataset → weights → model, bound by KYE Protocol™ to the obligations its use carries and a signed Evidence Pack™ an auditor can re-verify from public keys alone.

Who this is for

Three audiences feel this immediately. You are probably one of them.

  • Dataset & model 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

posture AI-BOM captured

Assess

posture obligations mapped

Certify

posture signed evidence pack

Declare

Identify the dataset or model and capture its AI-BOM — provenance and licence. Your artifact is now declared.

Assess

KYE Protocol™ maps the obligations your use carries and reviews your evidence. Your artifact is now assessed.

Certify

A signed evidence pack backs framework coverage. Your artifact is now certified — and adoptable.

Follow new governed datasets and models on the feed

Canonical KYE™ surfaces referenced on this page: Evidence Pack™ · KYE Protocol™.