Govern AI at runtime.
Enforce policy before it executes.
PolicyGate is an AI Governance Control Plane. It sits in the request path between enterprise applications and external LLM providers—enforcing access policy, controlling regional routing, and producing decision-level audit records at execution time.
Deployed at the edge. Evaluated before execution. Auditable by default.
The Problem
LLM traffic runs outside enterprise security boundaries.
No runtime policy enforcement
There is no control plane between enterprise applications and external LLM providers. Requests execute without policy evaluation, access control, or governance checks of any kind.
Policies don't exist in the request path
Acceptable use policies, data handling constraints, and provider restrictions are documented but unenforced. Nothing intercepts a violating request before the model processes it.
No data sovereignty at the call level
Regional compliance requirements—GDPR, EU AI Act, MENA data residency—cannot be enforced without routing controls operating at the AI request layer, not the application layer.
Architecture Overview
PolicyGate operates as a control plane in the AI request path.
How It Works
PolicyGate inserts a governance control plane into the AI request path.
Edge termination on every LLM request
PolicyGate terminates AI requests at the edge before they reach a provider. All traffic—streaming or synchronous—passes through the control plane for evaluation, tagging, and routing.
OPA-based runtime policy evaluation
Every request is evaluated against Rego policies at runtime. Access rules, tenant constraints, data classification boundaries, and provider restrictions are enforced in the request path—not after the fact.
Region-aware routing with egress control
Requests are routed to compliant provider endpoints based on tenant context, data classification, and regional policy. EU and MENA traffic never exits designated boundaries without explicit policy authorization.
Capabilities
Infrastructure-grade controls across the entire AI request lifecycle.
Runtime Policy Enforcement
Policies are evaluated against every LLM request at execution time using OPA. Requests that violate policy are blocked or redirected before reaching the provider.
Zero-Trust AI Gateway Integration
No implicit trust for any AI request. Every call is authenticated, authorized, and evaluated against current policy state before egress is permitted.
Regional & Sovereignty Controls
Enforce EU, MENA, and custom regional routing rules at the gateway level. Data residency requirements are satisfied at the infrastructure layer, not the application layer.
Multi-Tenant Isolation
Strict tenant boundary enforcement across policy namespaces, routing rules, and audit streams. Tenant context propagates through the full request lifecycle.
Policy Decision Metadata
Every request carries a signed policy decision record—what was evaluated, what was enforced, and where it was routed. Metadata propagates to downstream observability systems.
Full Audit & Observability
Tamper-evident audit trail of every LLM request: policy decisions, routing choices, provider responses, and enforcement outcomes. Queryable by request, tenant, and region.
Egress Governance
Provider egress is explicitly permitted by policy. No application reaches OpenAI, Anthropic, Gemini, or any other provider without a current, valid policy authorization for that tenant and use case.
Who It's For
Built for the teams who own enforcement, not just oversight.
CISOs
Extend enterprise access control to AI infrastructure. Enforce zero-trust policy, provider egress control, and audit requirements at the gateway—without depending on application teams to implement controls.
AI Platform Teams
Operate a centralized AI access layer across all applications and business units. Control which models, providers, and capabilities are accessible, and enforce consistent policy without modifying application code.
Enterprise Architects
Integrate AI governance directly into existing security infrastructure. PolicyGate operates as an infrastructure component—sitting in the request path alongside API gateways, service meshes, and observability pipelines.
Compliance & Risk Leaders
Demonstrate enforceable controls at the AI request level. Every LLM call produces a policy decision record. Regional routing constraints are enforced in infrastructure, not asserted in documentation.
From the Founder
“Every enterprise I worked with was running LLMs in production with no policy enforcement in the request path. Governance existed in documents—acceptable use policies, data classification frameworks—but nothing was enforcing them at runtime.
PolicyGate is the control plane that sits where enforcement actually matters: between the application and the model. Policy evaluation happens before the request executes. Audit records are produced at the infrastructure level. Enforcement is architectural, not procedural.”
PolicyGate Team
Founder & CEO
Architecture Briefing
See how PolicyGate fits your infrastructure.
We work with a limited number of enterprise teams in early deployment. Share your details and an engineer will follow up within 48 hours to discuss your environment and architecture requirements.