Areebi vs Microsoft Purview AI Hub

Microsoft Purview AI Hub launched as an extension of the existing Purview compliance suite, designed to give Microsoft 365 administrators visibility into how employees interact with Microsoft Copilot and Azure OpenAI Service. Within that scope, it works: sensitivity labels propagate, data classification applies, and activity logs feed into the unified Microsoft 365 audit infrastructure.

The problem is that enterprise AI usage does not live inside a single vendor's ecosystem. Research consistently shows that organisations use an average of 3–5 AI providers simultaneously. Marketing teams adopt Claude for long-form content. Engineering teams run open-source models on internal infrastructure. Product teams experiment with Gemini. Customer support deploys specialised AI tools with embedded models. Every one of these interactions falls completely outside Purview's visibility.

Areebi was built for this reality. As a provider-agnostic AI control plane, Areebi governs every AI interaction - regardless of which model, which provider, or which deployment model is in use. This is not a feature difference; it is an architectural difference. Purview extends Microsoft compliance to Microsoft AI. Areebi provides AI governance across the entire organisation's AI footprint.

Purview AI Hub's core capability is extending Microsoft's data classification framework - sensitivity labels, data types, trainable classifiers - to AI interactions within the Microsoft ecosystem. This is valuable for understanding what data is being exposed to Copilot, but it addresses only one dimension of AI governance.

Complete AI governance requires answering a broader set of questions: Who is authorised to use which models for which purposes? What happens when a policy violation is detected - is the interaction blocked, masked, or escalated? Can the organisation prove to a regulator exactly why a specific decision was made? What unsanctioned AI tools are employees using outside approved channels? How much is each department spending on AI, and against which budgets? These questions require a purpose-built governance platform, not a classification extension.

Areebi delivers classification and DLP as one of 14 governance capabilities, alongside a policy engine, decision authority controls, decision provenance, incident replay, shadow AI discovery, model registry, output enforcement, compliance automation, and a governed AI workspace. The gap between "we can label data" and "we can govern AI" is the gap between Purview and Areebi.

Microsoft's pitch is compelling if you assume all AI usage runs through Azure. But enterprise procurement data tells a different story. Organisations are deliberately pursuing multi-provider AI strategies to avoid vendor lock-in, optimise cost, and match models to use cases. A legal team might require Claude for nuanced contract analysis. A data science team might deploy Llama on internal GPUs for sensitive workloads. A customer experience team might use a vertical AI tool powered by a model you have never heard of.

Purview cannot govern what it cannot see. It has no visibility into non-Microsoft AI services, no mechanism to enforce policies on third-party models, and no way to detect shadow AI usage across the dozens of AI-powered SaaS applications entering the enterprise. This is not a limitation that Microsoft will fix - it is a structural constraint of building governance into a vendor-specific platform.

Areebi sits at the control plane layer, above any individual provider. It integrates with Microsoft AI services (including Copilot and Azure OpenAI), and equally with Anthropic, Google, Mistral, Cohere, and self-hosted open-source models. One policy engine, one audit trail, one compliance framework - across every AI interaction in the organisation. For enterprises navigating EU AI Act requirements or HIPAA obligations, this unified view is not optional.

Microsoft Purview AI Hub requires Microsoft 365 E5 licensing (or E5 Compliance add-on) and Azure infrastructure. For organisations already at E5, this means Purview AI Hub is "included" - but "included" means bundled, not free. E5 licensing runs $57/user/month, and the AI governance capabilities are a fraction of what that license covers. Organisations pay for the entire E5 bundle to access AI-specific features.

More critically, Purview AI Hub is cloud-only and Microsoft-only. Organisations with on-premise requirements, air-gapped environments, or multi-cloud mandates cannot use it. Defence contractors, healthcare systems, financial institutions with data sovereignty requirements, and government agencies frequently need governance infrastructure that deploys within their own boundary - not in a vendor's cloud.

Areebi deploys anywhere: your VPC, on-premise, air-gapped, or as a managed cloud service. There is no prerequisite infrastructure, no bundled licensing, and no vendor ecosystem requirement. A 200-person organisation pays $48,000–$84,000/year for the complete AI governance platform - compared to $136,800/year just for the E5 licensing that enables Purview AI Hub (before Azure costs). See transparent pricing or request a demo to compare directly.