Azure OpenAI Service + Areebi

For enterprises invested in the Microsoft ecosystem, Azure OpenAI Service provides GPT models hosted within Azure's infrastructure - giving you data residency, VNet isolation, and Azure-managed security controls. Areebi adds a second governance layer on top, delivering DLP scanning, granular audit logging, and policy enforcement that Azure alone does not provide. The result is a double-governance architecture ideal for highly regulated industries.

Azure OpenAI already offers content filtering and responsible AI features at the platform level. Areebi complements these with organisation-specific controls: custom DLP rules for your proprietary data, user-level audit trails that map to your identity provider, workspace isolation between business units, and cost allocation that goes beyond Azure billing to show per-user and per-department AI spend. This combination gives security and compliance teams the layered defence they need to approve AI adoption.

The integration supports all Azure OpenAI capabilities including GPT-4o, embedding models, and fine-tuned deployments. Areebi connects to your Azure OpenAI resource using Azure-managed keys or service principal authentication, and all traffic stays within your Azure network when configured with VNet integration. No data is routed through Areebi's infrastructure - the governance layer runs within your deployment.

The combination of Azure's built-in controls and Areebi's governance engine creates a defence-in-depth approach that satisfies even the most demanding compliance requirements. Azure provides infrastructure-level security: encryption at rest and in transit, VNet isolation, private endpoints, and regional data residency. Areebi provides application-level governance: DLP scanning with 50+ built-in detectors, user-identity-aware audit logging, and policy enforcement through the policy builder.

For organisations pursuing SOC 2 certification, this dual-layer approach maps cleanly to control objectives around access management, data protection, and monitoring. For HIPAA-regulated entities, the combination ensures that PHI is protected by both Azure's infrastructure controls and Areebi's content-level DLP - a defensible position for any audit.

Audit logs from Areebi can be exported to Azure Monitor, Sentinel, or any SIEM platform, creating a unified view of AI usage alongside your existing security telemetry. Cost tracking integrates with Azure billing tags, enabling accurate chargeback to departments and projects without manual reconciliation.

Organisations that have standardised on Microsoft benefit from Azure OpenAI's native integration with Entra ID, Azure Policy, and Microsoft Purview. Areebi extends this by adding AI-specific governance that Microsoft's general-purpose tools were not designed for: prompt-level DLP, model-access policies, and AI-usage audit trails with full conversation context.

For enterprises using workspace isolation, Areebi creates separate AI environments for each business unit, each with its own governance policies and Azure OpenAI deployment. Legal gets a locked-down configuration with aggressive DLP; marketing gets a more permissive setup - all managed from Areebi's centralised console.

Visit the trust centre for full security documentation, explore pricing plans designed for enterprise Azure deployments, or schedule a demo to see the Azure OpenAI integration in action.