Arbitex Gateway vs. Azure API Management
Azure APIM is a general-purpose API gateway. Microsoft Purview classifies data at rest. Together, they require substantial custom engineering to approximate AI governance. Arbitex Gateway is purpose-built for AI governance — real-time content inspection, pre-configured compliance enforcement, and cryptographically chained audit logging in a single product designed from the ground up for this problem.
Feature Comparison
| Capability | Azure APIM + Purview | Arbitex Gateway |
|---|---|---|
| Purpose-built AI governance gateway | ✕ Multi-product assembly — APIM + Purview requires integration and custom configuration; not designed for AI governance | ✓ Single product, single policy model — every feature built for AI governance from day one |
| DLP in the AI request path (real-time) | ✕ APIM does not inspect request or response content — Purview classifies data at rest in Azure services, not live AI traffic | ✓ 3-tier DLP pipeline — pattern matching, ML-based entity recognition, and contextual validation on every request and response |
| Pre-built compliance bundles (HIPAA, PCI-DSS, SOX, GDPR) | ✕ No pre-configured AI governance bundles — each compliance framework requires custom engineering from scratch | ✓ 12 compliance frameworks pre-configured and enforced as executable policy at the model boundary |
| Tamper-proof audit logging | ✕ Azure logging is comprehensive but not cryptographically chained — does not produce a demonstrable chain of custody for AI enforcement decisions | ✓ Cryptographically chained, immutable record of every enforcement decision — structured for regulatory examination |
| Unified policy engine across all pipeline stages | ✕ Separate policy surfaces across APIM and Purview — no single policy model governing routing, inspection, and audit | ✓ Routing · Protection · Control · Visibility — one policy model, one enforcement surface across all four stages |
| Hybrid deployment — customer-managed data plane | ✕ Azure VNet integration — data plane stays inside Microsoft-managed Azure infrastructure, not the customer's own environment | ✓ Hybrid Outpost — data plane runs in your own VPC; your compute, your network, your controls |
| Provider-neutral AI routing (9+ providers) | ✕ Optimized for Microsoft ecosystem — Azure OpenAI is the primary integration path | ✓ 9+ providers including Azure OpenAI, Anthropic, Google Gemini, AWS Bedrock, and more — governance enforced uniformly across all |
| Compromised credential detection | ✕ No credential breach detection in APIM or Purview — AI traffic is not screened for leaked or compromised credentials | ✓ Compromised credential detection — checks content against a compromised credential dataset in real time, sub-millisecond, in-process on every AI request and response |
| Enterprise observability (OTel + Grafana + SIEM) | ✕ API usage logs — not structured for end-to-end AI governance tracing with correlated trace IDs in existing SOC tooling | ✓ OpenTelemetry auto-instrumentation, 6 Grafana dashboards, and 7 SIEM connectors — every governance event traced end-to-end |
| Compliance audit artifacts | ✕ Azure APIM produces API usage logs and analytics — not structured as compliance examination evidence for AI data governance decisions; Purview provides data catalog reports, not per-request AI enforcement records | ✓ Per-request compliance records with framework mapping — every enforcement decision tagged to HIPAA, PCI-DSS, SOX, or GDPR requirements; 90-day buffer with signed exports for regulatory examination |
Where Arbitex Gateway Wins
Purpose-built, not assembled
Azure APIM handles API traffic management. Microsoft Purview classifies data at rest. Deploying these two products to govern AI workloads requires substantial custom configuration across separate policy surfaces, separate logging models, and no unified AI-specific enforcement layer. Arbitex Gateway is purpose-built: every feature — the DLP pipeline, routing engine, policy enforcement engine, and tamper-proof audit log — was designed for AI governance from day one. The result is a product, not a custom build.
Real-time content inspection — not data classification at rest
When an AI application generates a prompt containing sensitive data, Azure APIM has no mechanism to detect or intercept it. Purview classifies data in Azure data services — it is a cataloging tool, not a real-time AI request inspection engine. Arbitex Gateway's multi-layer content inspection pipeline inspects every request and response before any data reaches a model provider: 80+ pattern detectors, ML-based entity recognition, and contextual validation — all layers, on every call.
Audit logging that holds up in examination
Compliance frameworks — HIPAA, PCI-DSS, SOX, SEC Reg FD — require tamper-evident, evidence-grade audit records of governance decisions. Azure logging is comprehensive; it is not tamper-proof in a format that produces a demonstrable chain of custody for AI enforcement decisions. Arbitex Gateway's audit log is cryptographically immutable: every request, every detection, every enforcement action captured in a verifiable chain. The 90-day audit buffer exports directly to 7 SIEM connectors for continuous compliance monitoring.
Customer-managed data sovereignty — not VNet integration
Azure's hybrid option for APIM is VNet integration within Microsoft-managed Azure infrastructure. Organizations with data classification requirements that specify customer-managed infrastructure — or contractual data sovereignty obligations — cannot satisfy them with VNet integration. Arbitex Hybrid Outpost runs the data plane in the organization's own infrastructure: your compute, your network, your controls — not a cloud provider's managed environment, including Azure's.
Related Resources
Stay on Azure. Add the governance layer Microsoft doesn't ship.
Arbitex Gateway sits in front of Azure OpenAI and every other provider. Your applications keep running. You add real-time inspection, pre-configured compliance enforcement, and a tamper-evident audit record.