Prompt
What should I use for enterprise LLM access and controls?
Latest observation
For enterprise LLM access and controls, you usually want a stack that covers identity, policy, logging, data protection, and model governance.
What to use
1) Centralized LLM gateway / control plane
Use an intermediary layer between users/apps and model providers to enforce:
- authentication and SSO
- role-based access control
- model allow/deny lists
- rate limits and quotas
- prompt/response logging
- policy checks before/after model calls
- routing across vendors/models
Common patterns/tools:
- Azure AI Foundry / Azure OpenAI + Entra ID
- AWS Bedrock with IAM + Guardrails
- Google Vertex AI + IAM
- Open-source / vendor-neutral gateways like LiteLLM, Kong AI Gateway, OpenRouter for routing (less for strict enterprise control), or custom API gateways
2) Identity and access management
Integrate with:
- Okta
- Microsoft Entra ID (Azure AD)
- Ping Identity
- Auth0 (more app-centric)
You want:
- SSO
- MFA
- group-based access
- SCIM provisioning/deprovisioning
- service account controls for apps
3) Data loss prevention and content controls
Add protections for:
- sensitive data in prompts
- secrets/API keys
- regulated data
Tools/patterns:
- DLP scanning in the gateway
- PII/PHI/PCI redaction
- secret detection before sending prompts
- output moderation and policy filters
4) Audit logging and observability
Capture:
- who called what model
- when
- token usage
- prompt/response metadata
- policy decisions
- latency and cost
Useful integrations:
- SIEM: Splunk, Sentinel, Datadog, Elastic
- tracing/metrics: OpenTelemetry
5) Model governance / approval process
Maintain:
- approved model catalog
- use-case-based access
- vendor risk review
- version pinning
- evaluation and testing before rollout
6) Secrets and key management
Use:
- HashiCorp Vault
- AWS KMS / Secrets Manager
- Azure Key Vault
- GCP Secret Manager
Never embed model API keys directly in apps or client-side code.
A practical enterprise architecture
A common setup is:
Users / internal apps
→ SSO / IAM
→ LLM Gateway / Policy Engine
→ DLP / Moderation / Redaction
→ Model providers
→ Logging / SIEM / Billing analytics
Best choice depends on your environment
- If you’re Microsoft-heavy: Entra ID + Azure OpenAI + Azure Policy/Monitor + Key Vault
- If you’re AWS-heavy: IAM + Bedrock + Guardrails + CloudWatch + KMS
- If you need multi-model, multi-cloud: a central LLM gateway plus your existing IAM/SIEM stack
If you want the shortest recommendation
For most enterprises, start with:
SSO (Okta/Entra) + LLM gateway + DLP + audit logging + approved model catalog
That gives you the best balance of control, compliance, and flexibility.
If you want, I can also give you:
- a reference architecture diagram,
- a buy-vs-build comparison, or
- a vendor shortlist by cloud/provider.