About This Architecture

Network International's 7-layer GenAI target architecture enforces sovereign data residency and zero-trust security within Azure UAE North, combining foundation LLMs (Azure OpenAI, Claude, Grok) with in-region SLMs (Phi-4 on AKS) and strict data masking via Presidio and FPE. Data flows through PII detection, tokenization, and ACL-aware retrieval in a masked landing zone (ADLS with CMK), while orchestration via Prompt Flow and Agent Runtime applies human-in-the-loop gates and RAG grounding. Cross-cutting Layer 7 governance—AI Data Firewall, shadow-AI discovery, audit logging to Microsoft Sentinel, and DARB stage-gate controls—ensures compliance with PDPL, PCI DSS, and privacy regulations. Enterprise architects can fork this diagram to customize connectors, model choices, and regional policies for their own regulated GenAI deployments. The architecture demonstrates how to balance innovation velocity with sovereign data protection and responsible AI practices in financial services.

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How do you build a sovereign GenAI platform that meets PDPL and PCI DSS compliance while maintaining zero-trust security and data residency in regulated markets?

Network International's 7-layer architecture isolates all processing in Azure UAE North, applies PII masking via Presidio and tokenization, enforces ACL-aware retrieval from masked landing zones, and routes all telemetry through Microsoft Sentinel for audit and SIEM. Layer 7 cross-cutting controls—AI Data Firewall, shadow-AI discovery, and DARB stage-gate governance—ensure responsible AI practices