Modernizing SaaS Solutions for Data Sovereignty with Agentic AI: Architecture Patterns for ISVs

This article presents three architecture patterns for ISVs modernizing SaaS solutions to incorporate agentic AI while preserving data sovereignty and regulatory compliance.

• Pattern 1: Dedicated compute in ISV account with customer data residency, using MCP servers for secure data access and CloudTrail for audit trails
• Pattern 2: Customer-managed infrastructure with AgentCore/EKS deployed in customer accounts, providing complete control and revocable access
• Pattern 3: Multi-tenant shared compute in ISV account with per-customer MCP servers, balancing operational efficiency with data isolation
• All patterns use Amazon Bedrock AgentCore, Model Context Protocol, AWS PrivateLink, IAM, and CloudWatch for secure agent execution and observability
• Best practices include network isolation via PrivateLink, geographic data residency, least-privilege IAM, Firecracker microVM isolation, and comprehensive audit logging
• Pattern 1 suits enterprise validation; Pattern 3 scales for cost-conscious customers; Pattern 2 serves premium compliance-focused segments

These patterns enable ISVs to deliver autonomous AI agents while meeting enterprise data sovereignty requirements across healthcare, financial services, and government sectors.