AI Governance Hub Research preview

AIGH TRANSACTION RISK MODEL

TRM-1 makes risk signals explainable before a human decides.

An AIGH-owned, reproducibly trained model for governance research. It accepts seven non-identifying operational signals, returns a synthetic risk estimate, and never authorizes, blocks, or declines a payment.

Synthetic validationNo card or identity dataHuman decision required

01 · INPUT SIGNALS

Describe a synthetic event

Do not enter names, email addresses, phone numbers, order IDs, card data, IP addresses, or any real customer information.

03 · GOVERNANCE BOUNDARY

This is a model demonstration—not a payment control.

Permitted: synthetic evaluation, explainability review, threshold research, red-team testing.

Prohibited: real customer data, live authorization, automated denial, production routing, compliance claims.

Required before pilot: legal basis, data minimization, bias testing, monitoring, human appeal, rollback, and payment-provider approval.

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