Azure Customer Data Detection
Learn how to detect customer data in Azure environments. Follow step-by-step guidance for GDPR compliance.
Why It Matters
The core goal is to identify every location where customer information is stored within your Azure environment, so you can remediate unintended exposures before they become breaches. Scanning for customer data in Azure is a priority for organizations subject to GDPR, as it helps you prove you've discovered and accounted for all sensitive customer assets—mitigating the risk of data exposure and ensuring data subject rights compliance.
A thorough scan delivers immediate visibility, laying the foundation for automated policy enforcement and ongoing compliance.
Prerequisites
Permissions & Roles
- Azure subscription owner or contributor
- Reader permissions on target resources
- Ability to register Azure AD applications
External Tools
- Azure CLI or PowerShell
- Cyera DSPM account
- Service principal credentials
Prior Setup
- Azure subscription provisioned
- Resource groups configured
- CLI authenticated
- Network access rules configured
Introducing Cyera
Cyera is a modern Data Security Posture Management (DSPM) platform that discovers, classifies, and continuously monitors your sensitive data across cloud services. By leveraging advanced AI including Named Entity Recognition (NER) and pattern matching algorithms, Cyera automatically identifies customer data across Azure SQL databases, Blob storage, and other Azure services, ensuring you meet GDPR data discovery requirements and maintain continuous visibility into your customer data landscape.
Step-by-Step Guide
Create a service principal with appropriate permissions to scan your Azure resources and register it in Azure Active Directory.
In the Cyera portal, navigate to Integrations → DSPM → Add new. Select Azure, provide your subscription ID and service principal credentials, then define the scan scope including SQL databases, storage accounts, and other data repositories.
Configure webhooks or Event Hub integrations to push scan results into Azure Security Center or Azure Sentinel. Link findings to existing incident response workflows.
Review the initial detection report, prioritize databases and storage containers with large volumes of customer PII, and adjust detection rules to reduce false positives. Schedule recurring scans to maintain visibility.
Architecture & Workflow
Azure Resource Manager
Source of metadata for resources and configurations
Cyera Connector
Pulls metadata and samples data for classification
Cyera AI Engine
Applies NER models and risk scoring algorithms
Reporting & Remediation
Dashboards, alerts, and compliance reports
Data Flow Summary
Best Practices & Tips
Performance Considerations
- Start with critical resource groups first
- Use sampling for very large storage accounts
- Configure scan scheduling during off-peak hours
Tuning Detection Rules
- Maintain allowlists for test environments
- Adjust confidence thresholds for customer data
- Configure region-specific data patterns
Common Pitfalls
- Missing storage accounts in different regions
- Over-scanning development environments
- Neglecting to rotate service principal secrets