Cloud Infrastructure Compliance

Implement GDPR requirements directly in your cloud infrastructure.

RuleMesh connects GDPR IT Requirements to real cloud architecture. Each requirement includes implementation guidance for AWS, Azure, and Google Cloud so engineering teams can move directly from regulatory obligations to system configuration.

View Documentation
Article_5_1_e.rm
rule StorageLimitation {
  # Article 5(1)(e)
  scope: "PII_DATA",
  retention: 2_YEARS,
  on_expiry: PERMANENT_DELETE,

  mapping AWS::S3::Bucket {
    LifecycleConfiguration: {
      Rules: [{ ExpirationInDays: 730 }]
    }
  }
}

The RuleMesh approach

Each GDPR IT Requirement is mapped to a Cloud Foundations Control that describes the technical pattern required to implement it. Provider-specific guidance then explains how to implement the control in AWS, Azure, and Google Cloud.

architecture

Structured Requirements

Each IT Requirement includes a ComplianceDSL rule, cloud control mappings, and evidence checklists — structured for both engineers and AI agents.

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Provider-Specific Guidance

Cloud Foundations Controls define the architecture pattern. Provider mappings show how to implement it in AWS, Azure, or Google Cloud.

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Consistent Across Platforms

Requirements remain consistent across cloud platforms while still providing provider-specific implementation guidance.

Technical Implementation Highlights

Article_25_1_Privacy_By_Design.rm
GDPR-ENFORCED
rule PrivacyByDesign {
  # Data Protection by Design and Default
  enforce: MINIMAL_PRIVILEGE,
  default_state: ENCRYPTED,

  mapping Azure::Storage::Account {
    properties: {
      supportsHttpsTrafficOnly: true,
      encryption: { keySource: "Microsoft.Storage" }
    }
  }
}
Article_32_1_a_Pseudonymization.rm
GDPR-ENFORCED
rule SecurityOfProcessing {
  # Technical and organizational measures
  technique: PSEUDONYMIZATION,
  encryption_at_rest: AES_256,

  mapping GCP::BigQuery::Dataset {
    default_encryption: {
      kms_key_name: "projects/rulemesh/keys/primary"
    }
  }
}

Example mappings

Article 5(1)(e)—Storage Limitation
Requirement

Configure retention policies to automatically delete personal data after the defined retention period expires.

ComplianceDSL
SHALL implement data_retention_policy IN storage_services WHERE data_type = personal_data USING lifecycle_rules
AWS implementation

S3 Lifecycle Policies, CloudWatch Logs Retention, DynamoDB TTL

Article 25(1)—Data Protection by Design
Requirement

Implement appropriate technical measures designed to implement data-protection principles such as data minimisation effectively and integrate safeguards into processing.

ComplianceDSL
SHALL implement privacy_by_design IN systems AND architectures AT design_time USING pseudonymisation, data_minimisation
AWS implementation

AWS Config Rules, S3 Default Encryption, RDS Encryption at Rest, Macie for data classification

Article 32(1)(a)—Security of Processing — Encryption
Requirement

Implement pseudonymisation and encryption of personal data as appropriate measures to ensure a level of security appropriate to the risk.

ComplianceDSL
SHALL implement encryption_at_rest AND encryption_in_transit IN cloud_infrastructure USING provider_KMS WITH key_rotation
AWS implementation

KMS Key Management, S3 SSE, RDS Encryption, EBS Encryption, ACM Certificate Manager

Cloud control architecture

RuleMesh organizes cloud implementation guidance in three layers: IT Requirements define what must be implemented, Cloud Foundations Controls define the architecture pattern, and Provider Mappings show how to implement it.

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AWS Infrastructure

Implementation guidance for S3, RDS, IAM, Lambda, and more. Cloud control mappings cover encryption, access management, data retention, and logging across AWS services.

  • check_circleS3 Bucket Policy Enforcement
  • check_circleRDS Encryption-at-Rest Mandates
  • check_circleVPC Flow Log Compliance
Explore AWS Mappings arrow_forward
cloud

Azure Ecosystem

Native integration with Azure Policy and Blueprints for unified governance.

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AZ-PolicySQL-AdvancedRBAC-Lock

Google Cloud

Organization-level constraints and VPC Service Controls.

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hub

Unified Data Map

Cross-Cloud sync

01

Requirement Generation

RuleMesh generates structured IT Requirements from its GDPR model, each mapped to cloud controls and evidence checklists.

02

Implementation

Engineers or AI agents implement the controls in your cloud infrastructure using the provider-specific guidance.

03

Governance & Evidence

Governance checklists verify implementation. Evidence artifacts are attached to Jira tickets for audit readiness.

Implementation and governance

Once requirements are generated in Jira, engineers or AI agents implement the controls. Governance checklists verify implementation and evidence artifacts demonstrate compliance. Cloud mappings ensure the implementation step is clear and technically correct.

terminalRuleMesh CLI
apiREST API
settings_input_componentTerraform Provider
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Get structured GDPR requirements with cloud control mappings for AWS, Azure, and Google Cloud.

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