Enterprise AI governance

Govern enterprise AI with confidence.

PolicyMux provides policy-controlled access, routing, security, and governance across AI models, providers, users, agents, and organizational data.

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Early Access • Enterprise AI governance platform

One governed control layer

PolicyOrganizational rules and guardrails

Secure AccessIdentity-aware authorization

Model RoutingProviders, models, and context

Sensitive DataProtection and controlled handling

AuditabilityEvidence and traceable decisions

Users • agents • models • providers • organizational data

Governance

Apply organizational policies consistently across enterprise AI access and use.

Secure Access

Control who can use which AI resources, under which conditions and boundaries.

Model Routing

Route requests across providers and models according to policy and context.

Auditability

Maintain evidence of access, policy decisions, routing, and administrative activity.

Why PolicyMux

Purpose-built for enterprise AI governance

One control layer to unify policy, identity, providers, models, monitoring, and auditability without locking the organization into a single AI vendor.

One control layer

Unify policy, users, models, providers, agents, and organizational data behind a governed access layer.

Enterprise-ready

Designed for tenant isolation, role-based access, auditability, observability, and future deployment choices.

Provider-independent

Support multiple commercial and locally hosted AI providers without rebuilding governance for each one.

Core capabilities

Governed access across the enterprise AI ecosystem

PolicyMux is designed around the controls enterprises need to adopt AI with stronger governance, security, flexibility, and traceability.

Policy-based routingSelect providers and models through organizational rules, authorization, risk, and business context.

Identity and accessApply roles, privileges, tenant boundaries, and stronger controls for sensitive actions.

Sensitive-data protectionDetect and redact confidential or regulated information before external model access.

Provider and model registryGovern which providers and models are approved, available, restricted, or retired.

Observability and costTrack requests, performance, usage, errors, and future cost controls in one operating view.

Audit trailMaintain evidence of access, policy decisions, routing, and administrative changes.

Built for responsible adoption

Control access. Route requests. Protect sensitive data.

PolicyMux is being built as an enterprise control and governance layer, not another isolated AI interface.

Govern with intent through enforceable policy and routing decisions.Keep privileged access, sensitive data, tenant isolation, and audit evidence central to the architecture.Support shared and dedicated deployment choices without forced provider lock-in.

Security by design

Governance starts with control, boundaries, and evidence.

The platform direction prioritizes least privilege, role-based authorization, tenant isolation, sensitive-data protection, provider governance, and auditability from the foundation.

Access boundaries

Separate platform, company, tenant, and user-level authority instead of relying on broad application access.

Controlled administration

Keep privileged actions explicit, governed, and auditable with no self-elevation path.

Evidence and traceability

Preserve policy decisions, administrative changes, routing context, and access events for review.

Enterprise AI, under policy control.

PolicyMux is preparing for Early Access. Request access to follow the product, provide feedback, and help shape the next stage.

Request Early Access

Early Access & enterprise conversations

Bring your AI governance challenge.

Tell us what you are evaluating. We will use the information to route your request to the right conversation and keep the first step practical.

Early AccessProduct demonstrationsEnterprise evaluationPartners & implementation