What this control covers
Securely separates cloud customer data on shared resources per OIS-07 risk analysis, using documented approaches to ensure confidentiality and integrity. Prevents unauthorized access or data leakage in multi-tenant environments.
Why it matters
A well-architected cloud landing zone bakes most of these controls in at the platform layer — done well, individual workloads inherit security for free.
How to implement
AWS
Segment workloads into separate VPCs/accounts per environment. Use security groups as stateful allow-lists (least-port, source by SG ID not 0.0.0.0/0) and VPC Flow Logs to CloudWatch/S3. Front public services with AWS WAF + Shield Advanced and use PrivateLink/VPC Endpoints to keep service traffic off the internet.
Azure
Use Network Security Groups and Application Security Groups for east-west, and an Azure Firewall or NVA in a hub VNet for north-south. Enforce Private Endpoints for PaaS and turn on Defender for Cloud — Network for adaptive hardening recommendations.
GCP
Use VPC Service Controls to draw a perimeter around sensitive APIs and a hierarchical Firewall policy at the org/folder level so projects inherit a deny-by-default posture. Front HTTP workloads with the global Cloud Load Balancer + Cloud Armor.
Evidence to collect
infra_scan— See the iCompaas Evidence library for the canonical source for this evidence type.
Infrastructure posture tooling (AWS Config, Azure Policy, Nessus) verifies platform hardening. Focus: Separation of Datasets in the Cloud Infrastructure.
Quick checklist
- Risk — - Configuration / Cloud Customer Data
- Security — - Configuration / Cloud Customer Data
- Confidentiality — - Configuration / Cloud Customer Data
- Data — - Configuration / Cloud Customer Data
- Separation — - Configuration / Cloud Customer Data
- Access — - Configuration / Cloud Customer Data
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