ZippriZIPPRIAI HUB · RABBIT INDUSTRIES
AI Hub / Enterprise AI
ENTERPRISE AI · SSO · GOVERNANCE

Enterprise AI control without hiding identity and policy boundaries.

Enterprise AI needs organizational identity, lifecycle policy, auditability and integration controls around the models themselves. Zippri includes OIDC and SAML adapters, governance policies, role provisioning, provider connections and a signed webhook dispatcher.

enterprise AI platformAI SSO platformAI governance enterpriseOIDC SAML AIAI webhooks
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Public before loginCore information is readable without an account.
Evidence-awareProduct claims follow current verified platform state.
Human authorityHigh-risk actions remain explicitly approval-gated.
End-to-end AI lifecycleBuild, verify, benchmark, deploy and commercialize.

Real enterprise identity adapters

OIDC configuration uses discovery and can enforce PKCE, state, nonce, issuer and signature checks. SAML configuration supports X.509 trust, signed requests and assertion validation.

OIDC and SAML

Connect organization identity to governed Zippri sessions.

Lifecycle policies

Require trust, license or environment conditions for sensitive actions.

Signed webhooks

Deliver audit/event information through authenticated HTTPS callbacks.

Governance enforced on the server

Lifecycle policies are evaluated in backend authority paths so browser controls do not become the source of truth for production permission.

Signed integrations and event delivery

Webhooks use encrypted secrets, HMAC signatures, retry/backoff and delivery history. Provider connections reference protected secret locations rather than storing raw credentials in ordinary entity JSON.

Common questions about Enterprise AI

Does Zippri support enterprise SSO?

The platform includes OIDC and SAML 2.0 adapter support. Formal customer acceptance still depends on completing a real login with the customer-controlled identity provider.

Are webhook secrets stored in plaintext?

Webhook secrets are encrypted at rest and the signing secret is shown only at creation in the intended workflow.

Can governance policies block deployment?

Yes. Backend policy checks can block lifecycle actions when configured requirements are not satisfied.

Related AI Hub topics

AI GovernanceApply server-side AI lifecycle policies, human approval gates, audit history, cost controls and fail-closed evidence rules across training, release and deployment.AI DeploymentDeploy evidence-bound AI endpoints with provider-owned lifecycle, signed manifests, preview and production gates, health checks and rollback-aware control.AI VerificationVerify AI artifacts against current evidence, issue signed verification receipts and govern Trust Passports without converting self-claims into approval.AI MarketplacePublish, buy and license AI assets with server-derived pricing and rights, wallet settlement controls, entitlement issuance, refunds and creator payout workflows.
Zippri separates engineering readiness from external/provider acceptance. Public pages preserve REVIEW and external-gate states instead of presenting unfinished external integrations as live.