Multi-Cloud Governance

Write Once. Enforce Everywhere.

Author a single governance policy. GovernorAI compiles it into a Canonical Policy Model and transpiles it into native enforcement artifacts for every cloud.

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AI Governance Breaks at the Cloud Boundary

Every cloud speaks a different governance language. Policies don't translate. Gaps compound.

Different Languages

AWS uses Guardrail JSON. Azure uses Content Safety API. GCP uses Safety Settings. Databricks uses Unity Catalog. None are interchangeable.

Different Semantics

Some clouds use deny-first logic. Others use allow-first. A "deny dangerous content" policy means different things on different platforms.

Different Defaults

What's blocked by default on one cloud is allowed on another. Unmanaged defaults create invisible policy gaps.

Zero Cross-Cloud Visibility

No unified dashboard. No drift detection. No way to know if policy intent is preserved across your multi-cloud fleet.

The Solution

Multi-Cloud Policy Transpilation

Author once. Compile to a canonical form. Transpile to native artifacts. Deploy. Reconcile continuously.

How It Works

Author

Write governance policy in GovernorAI's declarative YAML or OPA/Rego. Define intent, not implementation.

YAML
id: global-ai-governance
version: "1.0"
governance_mode: enforcement
fail_closed: true

tools:
  denied:
    - "shell.*"
    - "filesystem.delete"
  allowed:
    - "erp.*"
    - "crm.*"

rules:
  - id: high_value_action
    match:
      condition:
        field: "args.amount"
        operator: ">"
        value: 5000
    action: require_approval

Compile to CPM

GovernorAI compiles your policy into a Canonical Policy Model (CPM)—a normalized, cloud-agnostic intermediate representation.

Transpile to Native Artifacts

The CPM is transpiled into native enforcement artifacts for each target: AWS Bedrock Guardrail JSON, Azure Content Safety rules, GCP Safety Settings, OPA bundles, and more.

Deploy

Artifacts are deployed to each cloud target via native APIs. GovernorAI tracks deployment status, version, and configuration hash for every target.

Reconcile Continuously

GovernorAI monitors deployed policies against canonical intent. If drift is detected, it auto-remediates or triggers circuit breaker.

Semantic Inversion

GovernorAI automatically converts between deny-first and allow-first semantics when transpiling across clouds.

The Problem

Your canonical policy says: "deny shell access." But the target cloud uses allow-list semantics—it only understands what to allow, not what to deny.

GovernorAI inverts the policy automatically: it computes the complement set, generates the equivalent allow-list, and validates that enforcement semantics are preserved.

Rego
# Canonical intent: deny shell.*
# Target uses allow-list semantics
# GovernorAI generates equivalent allow-list:

package governorai.transpiled.allow_list

import future.keywords.in

default allow = false

allow {
  tool := input.tool
  not startswith(tool, "shell.")
  tool in allowed_tools
}

allowed_tools := {
  "erp.process_payment",
  "erp.query_balance",
  "crm.update_record",
  "crm.read_contact"
}

Divergence Tracking

Know exactly what mapped, what didn't, and why—for every target cloud.

JSON
{
  "target": "aws-bedrock",
  "policy_version": "1.0",
  "transpilation_status": "partial",
  "mapped": [
    "tools.denied.shell.*",
    "tools.allowed.erp.*",
    "rules.high_value_action"
  ],
  "divergences": [
    {
      "rule": "tools.denied.filesystem.delete",
      "reason": "No native equivalent in Bedrock Guardrails",
      "mitigation": "Enforced via GovernorAI proxy layer",
      "severity": "medium"
    }
  ],
  "confidence": 0.94
}
Mapped

Native equivalent exists

Divergent

Mitigated via proxy

Unsupported

Requires manual review

Continuous Reconciliation

GovernorAI doesn't just deploy policies. It watches them.

Detect Drift

Continuous comparison between canonical intent and deployed state. Drift detected within seconds.

Auto-Remediate

Re-transpile and redeploy when drift is detected. No human intervention required for policy convergence.

Circuit Breaker

If reconciliation fails or drift exceeds threshold, GovernorAI triggers circuit breaker and halts execution on the affected target.

Supported Targets

GovernorAI transpiles to native enforcement on every major AI platform.

AWS Bedrock

Guardrail JSON, IAM policies, CloudWatch integration

Azure AI

Content Safety API, Azure Policy, Monitor integration

GCP Vertex AI

Safety Settings, IAM, Cloud Logging integration

Databricks

Unity Catalog policies, MLflow integration

Kubernetes

OPA/Gatekeeper, Envoy/CEL, admission controllers

On-Premises

Docker, bare metal, air-gapped environments

Cloud-Native Guardrails vs GovernorAI

Capability Cloud-Native Guardrails GovernorAI
Scope Single cloud Multi-cloud + on-prem
Policy language Cloud-specific Universal YAML + OPA/Rego
Semantic normalization None Automatic inversion & mapping
Drift detection Manual / none Continuous + auto-remediation
Divergence tracking None Full mapping + confidence scores
Circuit breaker None Automatic on threshold violation

One policy. Every cloud. No blind spots.

Stop managing governance cloud by cloud. GovernorAI gives you one policy, one dashboard, and continuous enforcement everywhere.

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