Enterprise
When AI visibility becomes a business capability, it needs an operating model.
The Enterprise layer is designed for organizations that need identity, auditability, scope boundaries, integrations, financial governance and controlled production operations around AI visibility.
Enterprise Identity
SSO control plane, verified domains, JIT provisioning, group-to-role mapping and SCIM-ready lifecycle.
Audit & Compliance
AUD-2.0 append-only evidence, cryptographic chain verification, retention, legal hold and controlled evidence export.
Operational Readiness
Observability, heartbeats, go-live gates, production pilot controls, rollout states and rollback runbooks.
Developer Platform
Hashed API credentials, scopes, entitlement checks, idempotency, rate limits and signed webhooks when configured.
Tenant Governance
Organization, workspace and department boundaries for operating multiple teams under a governed tenant model.
Entitlements & Billing
Plan capabilities, usage ledger, commercial billing, reconciliation and controlled plan changes.
Least privilege before convenience
Sensitive entities use RLS and backend scope validation. Service-role writes are reserved for controlled backend flows rather than exposed as generic admin power.
Evidence before compliance theatre
The platform records technical controls and their status, but does not convert those controls into unsupported SOC 2, ISO 27001 or SLA claims.
Fail closed for missing dependencies
Features such as signed webhooks, SCIM or HMAC audit integrity remain unavailable or downgraded when required runtime secrets or external providers are not configured.
Security review should not start with a sales deck.
Open the Trust Center to inspect implemented controls, configuration dependencies, unpublished commitments and explicit non-certification statements.
Bring your architecture and governance requirements.
We can walk through identity, tenancy, evidence, integrations and production controls in your context.