AI Governance: AI governance and immutable LLM audit logs for production enterprise workloads.
nRouter delivers enterprise AI governance for production LLM workloads, combining policy enforcement, PII and secret guardrails, pre-call budget ceilings, and immutable LLM audit logs in one managed gateway.
What is AI governance for enterprise LLMs?
AI governance is the system of access controls, risk management, safety guardrails, budget enforcement, and compliance tracking required to operate LLMs safely in enterprise environments. nRouter enforces AI governance in the active request path before dispatching prompts to providers, generating immutable LLM audit logs, redacting sensitive data, and stopping unauthorized spend.
Control scopes
Organization, team, and key
3
Blocked requests
Zero spend on blocked traffic
$0
Safety
PII + injection checks
Spend
Preflight budget gate
Audit
Immutable spend logs
How it works.
Make AI policy executable in the request path
Governance is enforced before a provider call, not reconstructed from dashboards later.
- Role-based access control and key-level permissions
- Model allowlists and team-scoped quotas
- Pre-call PII redaction and injection blocking
Immutable LLM audit logs and compliance evidence
Request metadata, spend records, audit events, and retention controls make production AI verifiable.
- Immutable administrative audit logs for compliance reviews
- Data retention controls and SOC 2 Type II audit in progress
- Comprehensive export capabilities for SIEM and security tools
Policy-as-code guardrails across all models
Guardrails inspect traffic before provider dispatch and apply the same checks to every provider.
- Automatic PII and confidential secret redaction
- Bidirectional prompt-injection and jailbreak defense
- Configurable policy thresholds by team and virtual key
Compliance reporting and spend attribution
Export request records, policy decisions, and spend attribution for reviews and governance reporting.
- Granular attribution by project, team, and virtual key
- Deterministic list-price settlement and spend tracking
- Custom retention periods and regional compliance options
Governed LLM request with audit metadata.
Use standard OpenAI SDK clients while passing governance tags for real-time audit logging and budget attribution.
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.NROUTER_API_KEY,
baseURL: "https://api.nrouter.ai/v1",
defaultHeaders: {
"x-nr-team": "customer-support",
"x-nr-purpose": "ticket-summary",
},
});
// Guardrails redact PII and evaluate prompt injection before dispatch.
// Immutable spend logs capture request ID, latency, and list-price cost.
const response = await client.chat.completions.create({
model: "nrouter/auto",
messages: [{ role: "user", content: "Summarize case notes safely." }],
});
console.log(response.choices[0].message.content);How it compares.
Enterprise AI governance approaches compared
| Capability / Platform | Focus | nRouter Approach |
|---|---|---|
| nRouter in-path governance | Real-time gateway enforcement | Pre-call guardrails, hard budget caps, and immutable LLM audit logs with zero provider markup. |
| Post-hoc dashboard logging | Retrospective log analysis | Logs spend and policy violations after costs are incurred and data has left your boundary. |
| Point guardrail proxy | Standalone safety filtering | Lacks unified provider routing, token spend ledgers, and multi-tenant budget controls. |
| Manual provider management | Per-provider developer keys | Risk of credential leaks, uncontrolled team spend, and missing audit trails across disparate APIs. |
Pricing.
Governance included with zero token markup
Inference settles at the served provider’s exact list price with 0% token markup. Pay as you go carries a 0% platform fee with a $5 minimum credit purchase, no subscriptions sold, and a $100 no-card promotional credit spent on promo-labeled models subject to the daily limits shown on the Pricing page.
0%
FAQs
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.
What do nRouter LLM audit logs capture?
nRouter LLM audit logs capture request timestamps, virtual-key identity, organization and team IDs, model served, latency, token usage breakdown, guardrail inspection results, and exact provider list-price cost for comprehensive compliance review.
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. Refused requests cost $0 and record a security audit event.
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.
How is nRouter AI governance priced?
In-path governance, guardrails, and audit logging are included with zero token markup. Pay-as-you-go credit purchases carry a 0% platform fee ($5 minimum purchase, no subscriptions sold). New accounts receive a $100 no-card promotional credit spent on promo-labeled models subject to the daily limits shown on the Pricing page.
- Written by Suresh, Senior SEO Engineer · Technically reviewed by Rama Surasani, Founder & CEO, CloudAct Inc. · Last updated October 12, 2026