PGPolicyGate
AI Governance Control Plane

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.

Sub-10ms decisions · OpenAI-compatible drop-in · Cryptographic audit trail

Deployed at the edge. Evaluated before execution. Auditable by default.

The Problem

LLM traffic runs outside enterprise security boundaries.

01

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.

02

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.

03

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.

04

Governance gaps stall enterprise deals

Six-figure deals get blocked at procurement when security can't get clean answers about access control, residency, and audit. Average delay: three to six months. Many never close.

Architecture Overview

PolicyGate operates as a control plane in the AI request path.

PolicyGate sits in the request path between your applications and AI providers. Every request is verified, governed, and routed through a single control plane — generating signed audit records that your compliance team can hand to enterprise customers and regulators alike. Same architecture from MENA edge to EU edge — regional sovereignty enforced at the request level.

PolicyGate AI Governance Control Plane Architecture

Live Operations

STANDBY

Operating right now.

Real decisions from the deployed PolicyGate stack — updated every 30 seconds.

Decisions evaluated

Last 24 hours

p50 latency

p95 latency

Metrics temporarily unavailable

How It Works

PolicyGate inserts a governance control plane into the AI request path.

Intercept

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.

Evaluate

Policy evaluated before every request executes

Every request is evaluated against your governance policies before reaching the provider. Access control, tenant boundaries, data residency, model gating, and provider restrictions — all enforced in the request path, not after the fact.

Route

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.

Attest

Cryptographic record on every decision

Every decision produces a cryptographically signed, tamper-evident record. The request, the policy version that evaluated it, and the outcome — all linked by a unique decision ID. Drop it into your audit log.

Capabilities

Infrastructure-grade controls across the entire AI request lifecycle.

Runtime Policy Enforcement

Policies are evaluated against every AI request at execution time. Requests that violate policy are blocked or redirected before reaching the provider — sub-10ms decisions on real customer traffic.

OpenAI-compatible drop-in

Any application already written against the OpenAI SDK routes through PolicyGate without code changes. No SDK updates, no client rewrites, no integration effort.

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.

Signed Decision per Request

Every request carries a cryptographically signed policy decision record. Tamper-evident, version-bound, attributable to the exact policy that ran. Audit-ready out of the box.

Full Audit & Observability

Tamper-evident audit trail of every AI 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.

Live Conformance Suite

See every governance check execute against the deployed stack — one click. Eleven scenarios covering happy path, missing scopes, residency mismatch, expired credentials, unknown routes, and more. Real decisions, real audit trail, no mocks.

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.

AI-native Companies & ISVs

You sell into Fortune 500s. Their procurement teams hand you a 200-question security questionnaire about your AI stack. Your engineers shouldn't have to build governance from scratch every time. PolicyGate is the governance layer between your product and your customers — deploy it once, hand them the report.

From the Founder

Every enterprise we 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.
PG

PolicyGate Team

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.

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