Role-based access control
Built into the same managed gateway so teams can ship with one API key, clear controls, and an auditable request path.
AI Governance
Govern every request. Keep teams moving.
nRouter gives engineering, security, and compliance teams a policy layer for production LLM traffic: identity, budgets, guardrails, audit trails, and data controls in one managed gateway.
governance · policy path
Identity, safety, and spend controls
IdentityOrg → team → key
SafetyPII + injection checks
SpendPreflight budget gate
EvidenceImmutable audit events
RBACSSO/SAMLAudit-ready
- Control scopes
- 3
- Audit trail
- 1
- Feature paywalls
- 0
- Policy path
- 24/7
Organization, team, and key
Actor, request, cost, and outcome
Core governance on every tier
Controls enforced at request time
AI Governance
Make AI policy executable
Governance is stronger when it is enforced before a provider call, not reconstructed from dashboards later. Configure access, model permissions, safety rules, and spend ceilings at the scope where they belong.
Model and key policies
Built into the same managed gateway so teams can ship with one API key, clear controls, and an auditable request path.
Pre-call safety enforcement
Built into the same managed gateway so teams can ship with one API key, clear controls, and an auditable request path.
AI Governance
Give security and compliance teams evidence
Centralized request metadata, spend records, audit events, retention controls, and trust documentation make production AI easier to review and operate.
Immutable administrative audit logs
Built into the same managed gateway so teams can ship with one API key, clear controls, and an auditable request path.
Data retention and PII controls
Built into the same managed gateway so teams can ship with one API key, clear controls, and an auditable request path.
SSO, DPA, and compliance materials
Built into the same managed gateway so teams can ship with one API key, clear controls, and an auditable request path.
FAQ
Common ai governance questions
What does AI governance include?
AI governance includes identity and access control, model permissions, safety policies, budget enforcement, auditability, data handling, and operational review for AI workloads.
Where are nRouter guardrails enforced?
Guardrails run in the request path before provider dispatch for pre-call checks, with response scanning available for output controls.
Can governance policies be scoped to teams and keys?
Yes. nRouter supports organization, team, and virtual-key scopes so teams can apply shared defaults and narrower controls where needed.
Build on one gateway
Move from prototype to governed production AI.
Start with one OpenAI-compatible key, then add routing, budgets, guardrails, and observability as your workload grows.