GAMP is the global identity and trust layer for AI models. Cryptographically signed, publicly verifiable, and live — the same way SSL certificates prove a website is authentic.
When you visit a website secured with HTTPS, your browser checks a cryptographic certificate that proves the site is authentic. No certificate, no padlock, no trust. GAMP does the same thing for AI models.
Every registered model gets a unique Ed25519 keypair and a signed passport. The signature is verifiable by anyone — no need to trust GAMP itself.
A dynamic 0–100 score that updates in real time based on verifications, certifier co-signatures, and behavioral drift reports — not frozen at registration.
One script tag. The badge makes a live call to GAMP on every page load. Suspend a model — every embedded badge on every site goes red within seconds.
Certified third parties co-sign passports with their own private keys. Multiple co-signatures build a publicly verifiable chain — who certified this model, and who verified the certifier.
The GAMP SDK monitors deployed model outputs. If output signatures fail or distribution drifts from baseline, a drift report is raised automatically — no human needed.
Every registration, tier change, and suspension is permanently recorded in an append-only public feed. Nothing can be retroactively edited. Anyone can audit it.
GAMP works at three levels — at registration, at deployment, and at every runtime interaction. Each level adds a layer of cryptographic proof.
Submit your model's metadata — name, architecture, training data description, intended use. GAMP issues a unique Ed25519 keypair and signs a canonical passport hash with the GAMP master key.
Your model's private key is returned once and never stored by GAMP. Store it in your secrets manager. GAMP holds the public key. This is the asymmetric trust model that makes verification trustless.
Three lines of Python or JavaScript. The GAMP SDK signs every output your model produces with its private key. Callers can verify authenticity without calling GAMP at all.
One script tag on any site. The badge shows your model's current tier and trust score, updated on every page load. If your model is suspended, the badge goes red everywhere it's embedded — simultaneously.
Request verification from GAMP, then engage accredited certifiers for co-signatures. Each co-signature is cryptographically verifiable and increases your live trust score.
The SDK periodically pushes signed output batches to GAMP. If signatures fail or behavioral drift is detected, a report is raised automatically and your trust score is updated immediately.
GAMP combines cryptographic identity, AI-powered behavioural monitoring, evidence-weighted trust scoring, and real-time badge propagation into a single verifiable infrastructure layer.
The tier name communicates the evidence standard, not just a ranking. Declared means self-registered. Accredited means an institutional body signed off. The difference is auditable.
Self-registered. Identity claimed, metadata on record. No external verification required.
Identity and provenance confirmed by GAMP. Training data and architecture validated by the registry.
Two or more independent certifiers co-sign the passport with their own Ed25519 keys. Chain of trust is publicly verifiable.
Regulatory or institutional sign-off. Suitable for finance, healthcare, defense, and government deployment.
GAMP doesn't require you to change how your model works. It wraps the outputs with cryptographic identity. The private key stays in your environment — GAMP never sees it after registration.
Questions about integration, regulatory compliance, certifier partnerships, or enterprise licensing.