Platform

One proxy. Four policy controls.

Meibel sits inline between your application and any LLM API. Every call passes through the full policy stack — redaction, isolation, audit, rate limit — before the model sees it.

Platform architecture

A drop-in proxy that intercepts the full request/response cycle without changing your LLM SDK calls. The policy plane executes four controls synchronously on every call before the prompt reaches the upstream model — redaction, tenant-boundary enforcement, rate-limit check, and audit log write. All four are required for a defensible AI deployment register under NIST AI RMF (AI 100-1) Govern and Measure functions.

Meibel platform architecture: application layer → Meibel proxy intercept → PII redaction engine → policy enforcement → LLM API, with audit log branch
Everything in the policy stack
PII Redaction
30+ entity types. Replaceable mask tokens. Model reasoning preserved without raw personal data touching the upstream API.
Learn more
Tenant Isolation
Cryptographically distinct context per tenant. Cross-tenant data bleed eliminated at the proxy layer, not application layer.
Learn more
Audit Trail
Every call logged: prompt version hash, redaction events, model version, policy verdict. Immutable, queryable, compliance-ready.
Learn more
Rate Limiting
Per-tenant, per-model, and global call budgets. Cost attribution by department. Soft warnings before hard limits cut off spend.
Learn more
Integrates with your stack

Meibel proxies to any LLM API endpoint via standard HTTP. It sits in front of your existing SIEM, GRC tooling, and identity infrastructure — not in place of them. The proxy adds a policy plane; it does not replace the security controls you already operate.

OpenAI
Anthropic
Azure OpenAI
AWS Bedrock
Vertex AI
Mistral

See the proxy in action.

30-minute technical walkthrough with Kevin. We'll connect to your existing LLM stack.