Bachelor of Science in Cloud and Network Engineering • Multi-cloud security architecture

Retail Merger Multi-Cloud Security Plan

A security architecture plan for protecting customer and transaction data across on-premises, AWS, Azure, and Google Cloud environments.

Project objective

Reduce data-transfer risk, inconsistent access control, slow incident detection, and compliance gaps after two retail organizations merge their infrastructure.

What I produced

  • Assessed the risks created by combining legacy on-premises systems with AWS, Azure, and Google Cloud.
  • Compared network segmentation with unified identity and access management as primary control strategies.
  • Selected segmentation as the recommended design to limit lateral movement and isolate critical systems.
  • Created a multi-cloud architecture covering VLANs, VPCs/VNets, subnets, firewalls, WAFs, security groups, ACLs, and centralized oversight.

Key decisions

  • Separate inventory, e-commerce, customer-database, and administrative resources into controlled zones.
  • Apply consistent traffic rules at both physical and cloud boundaries.
  • Use standardized templates and automated validation to reduce multi-cloud misconfiguration risk.
  • Support PCI DSS, GDPR, and CCPA obligations with isolation, monitoring, and documented access paths.
4 environmentsOn-premises plus three cloud platforms
2 controls comparedSegmentation and unified IAM
3 compliance driversPCI DSS, GDPR, and CCPA

Validation and analysis

  • Evaluated scope, complexity, timeline, budget, strengths, and weaknesses for both proposed controls.
  • Documented risks related to configuration complexity and cost, with specific mitigation steps.
  • Mapped design advantages to business stakeholders, incident response, and compliance needs.