MISSION

Why GAFAIG exists

GAFAIG establishes a verifiable standard for AI governance by combining structured evaluation with cryptographic verification. Certification outcomes are published as independently verifiable public records backed by signed proof.

GAFAIG combines a private verification engine with a public trust layer, adding cryptographic verification to AI governance certification. Internal governance is reviewed in a controlled environment, while only the certification outcome is published as an independently verifiable public trust record backed by signed proof. Organizations can prove certified AI governance without exposing internal systems, evidence, or workflows.

The problem GAFAIG solves

AI governance is increasingly required, but most systems rely on internal attestations, opaque audits, or unverifiable claims. GAFAIG introduces a model where certification is computed, recorded, and published as a verifiable public record.

Every certified record includes a canonical messageString and signature, allowing external systems to validate certification status, payload integrity, and authenticity.

A shift from claims to verification

Before GAFAIG

Organizations describe governance through internal policies, frameworks, or disclosures. Oversight is asserted, but cannot be independently verified.

With GAFAIG

Oversight is evaluated through a structured private process and the certified outcome is published as a public trust record that can be independently verified.

GAFAIG does not replace governance frameworks. It adds a verification layer that makes governance outcomes externally reviewable and independently verifiable.

Verify oversight

GAFAIG verifies whether meaningful human oversight is implemented, operational, and producing real oversight outcomes across an organization’s AI operations.

Separate private review from public trust

Governance evidence, findings, and internal review materials stay in a controlled verification environment while only the certification outcome is made public.

Publish proof

Certified outcomes are published as public trust records backed by signed proof and designed for independent verification.

What makes GAFAIG different

Verification occurs in a controlled environment, separate from public disclosure.

Only the certification outcome is exposed publicly; internal governance materials remain private.

Public records can be independently verified using a canonical messageString, signed proof, a verification endpoint, and a public key.

Trust signals can be distributed across registry pages, APIs, widgets, badges, and external platforms.

The GAFAIG mission

Our mission is to make human oversight in AI systems visible, reviewable, and independently verifiable.

GAFAIG establishes a verification-first model for AI governance. It enables organizations to move from internal claims to certified public trust records and gives external stakeholders a clear mechanism to validate those records independently.

GAFAIG creates a foundation for portable, machine-verifiable trust in AI systems. Certification becomes a provable state that can be validated across platforms, applications, and jurisdictions.