Arbitex Gateway vs. Microsoft Azure Government AI
Azure Government holds FedRAMP High authorization for Microsoft's infrastructure. That authorization covers what Microsoft does to protect its systems — it does not certify your agency's AI governance posture. Arbitex Gateway is purpose-built AI governance designed for government workloads, with enforcement running inside your own environment.
Feature Comparison
| Capability | Azure Government AI (APIM + Content Safety + Monitor + Sentinel) | Arbitex Gateway |
|---|---|---|
| Purpose-built AI governance vs. assembled multi-product stack | ✕ Governance assembled from APIM + Content Safety + Monitor + Purview — separate configuration surfaces, separate audit formats, compliance gaps at the seams between products | ✓ Single product, single policy model — every feature built for AI governance from day one; no seams, no custom integration engineering required |
| Multi-provider AI coverage (9+ providers) | ✕ Deepest governance applies to Azure OpenAI — Anthropic Claude, Google Gemini, Mistral, and non-Azure providers traverse no Azure governance layer | ✓ 9+ providers including Azure OpenAI, Anthropic, Google Gemini, AWS Bedrock, and more — governance enforced uniformly across all providers on every request |
| Real-time DLP in the AI request path | ✕ Azure Content Safety screens for harmful categories; Purview classifies data at rest in Azure services — neither product inspects live AI request and response content for sensitive data | ✓ Multi-layer content inspection pipeline — 80+ pattern detectors, ML-based entity recognition, and contextual validation — on every request and response before any data reaches a model provider |
| Tamper-proof audit log | ✕ Azure Monitor and Log Analytics produce infrastructure-grade logs — not a cryptographically chained, tamper-evident AI governance audit record structured for IG review or congressional inquiry | ✓ Cryptographically tamper-proof, immutable record of every enforcement decision — every request, every detection, every disposition — structured for regulatory examination and evidence-grade audit |
| Hybrid Outpost — enforcement inside agency infrastructure | ✕ Data plane runs inside Microsoft-managed Azure Government infrastructure — agency does not control the enforcement perimeter; ITAR/CUI data resides in Microsoft's boundary, not the agency's | ✓ Hybrid Outpost — data plane runs inside the agency's own VPC or on-premises infrastructure; AI traffic inspected and enforced before it leaves the agency environment; CUI never transits Arbitex infrastructure |
| NIST AI RMF enforcement at runtime | ✕ Microsoft publishes alignment documentation mapping Azure services to NIST AI RMF functions — documentation the agency maintains separately, not runtime enforcement at the wire | ✓ NIST AI RMF functions implemented as runtime product capabilities — policy enforcement at the model boundary on every call, not documentation |
| Pre-built compliance bundles (12 frameworks) | ✕ No pre-configured AI governance compliance bundles — each framework requires custom engineering across APIM policy definitions, Content Safety rules, and Monitor alert configurations | ✓ 12 compliance frameworks pre-configured and enforced as executable policy at the model boundary — PCI-DSS, HIPAA, GDPR, GLBA, SOX, CCPA, BSA/AML, SEC Reg FD, FERPA, EU AI Act, NIST AI RMF, ISO/IEC 42001 |
| Single policy model across all pipeline stages | ✕ Separate policy surfaces across APIM, Content Safety, Monitor, and optionally Sentinel or Purview — no unified policy model governing routing, inspection, and audit in a single configuration | ✓ One policy model — Routing · Protection · Control · Visibility — enforced across all four pipeline stages from a single configuration surface |
Where Arbitex Gateway Wins
Cloud compliance and AI governance compliance are not the same thing
Azure Government's FedRAMP High authorization documents what Microsoft does to protect its infrastructure. It does not certify how an agency governs its own AI traffic — what policies evaluated each request, what data was inspected, and what the enforcement disposition was. These are different compliance surfaces. A CISO preparing for an inspector general review or a congressional inquiry needs to answer the agency-controls question, not the cloud-provider-compliance question. Arbitex Gateway is purpose-built to answer the agency-controls question with runtime enforcement and an evidence-grade audit chain.
Your data perimeter — not Microsoft's
For defense contractors under ITAR or agencies handling CUI, data residing in a Microsoft-managed cloud — even a FedRAMP High–authorized one — is not equivalent to data inside the agency's own network perimeter. Arbitex Hybrid Outpost deploys the data plane inside the agency's own VPC or on-premises infrastructure: AI request traffic is inspected and enforced before it leaves the agency environment. Constituent data and CUI never transit Arbitex infrastructure. The enforcement point lives inside the boundary the agency already owns and controls — not inside Microsoft's.
One product, not four assembled products
A defensible AI governance posture on Azure Government requires assembling APIM, Content Safety, Azure Monitor, Log Analytics, and potentially Sentinel or Purview — each with its own configuration surface, its own support path, and its own audit output format. The compliance gaps live at the seams between these products, and those seams are invisible to auditors until an incident exposes them. Arbitex Gateway is a single product with a single policy model. The DLP pipeline, routing engine, policy enforcement engine, and tamper-proof audit log are built into the same pipeline — no seams, no custom integration, no gaps between products.
Evidence-grade audit chain — not infrastructure logs
Agencies subject to congressional oversight, inspector general review, or state legislative inquiry need more than infrastructure logs. Azure Monitor records what happened in Microsoft's systems. Arbitex Gateway records what happened at the AI governance layer: which policy evaluated the request, which DLP detectors fired, what data was inspected, and what the enforcement disposition was — in a cryptographically tamper-proof, tamper-evident record. The 90-day audit buffer exports directly to 7 SIEM connectors including Microsoft Sentinel, Splunk, Elastic, and IBM QRadar for continuous compliance monitoring in the agency's existing SOC tooling.
Related Resources
Azure Government for your cloud. Arbitex for your AI governance.
Arbitex Gateway sits in front of Azure OpenAI and every other AI provider your agency uses. One policy model. One audit chain. The enforcement point inside your own infrastructure — not Microsoft's.