Azure PCI Data Detection
Learn how to detect PCI data in Azure environments. Follow step-by-step guidance for PCI-DSS compliance.
Why It Matters
The core goal is to identify every location where payment card information is stored within your Azure environment, so you can remediate unintended exposures before they become breaches. Scanning for PCI data in Azure is a priority for organizations subject to PCI-DSS, as it helps you prove you've discovered and accounted for all cardholder data assets—mitigating the risk of unauthorized access and potential data exposure.
A thorough scan delivers immediate visibility, laying the foundation for automated policy enforcement and ongoing compliance.
Prerequisites
Permissions & Roles
- Azure subscription owner or contributor
- SQL Database reader permissions
- Storage Account reader access
External Tools
- Azure CLI or PowerShell
- Cyera DSPM account
- API credentials
Prior Setup
- Azure subscription configured
- Service principal created
- Networking rules configured
- Resource groups identified
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 and Natural Language Recognition (NER) techniques, Cyera automatically identifies payment card data patterns, credit card numbers, and related PCI information in Azure databases, storage accounts, and data lakes, ensuring you stay ahead of accidental exposures and meet PCI-DSS audit requirements in real time.
Step-by-Step Guide
Ensure your Azure subscription has the necessary permissions and create a service principal with the minimum required privileges to access SQL databases, storage accounts, and other data services.
In the Cyera portal, navigate to Integrations → DSPM → Add new. Select Azure, provide your tenant ID, client ID, and client secret, then define the scan scope to include SQL databases, storage accounts, and Cosmos DB instances.
Configure webhooks or streaming exports to push scan results into your SIEM or Azure Security Center. Link findings to existing ticketing systems like Azure DevOps or ServiceNow for remediation tracking.
Review the initial detection report, prioritize databases with large volumes of payment card data, and adjust detection rules to reduce false positives. Schedule recurring scans to maintain visibility and compliance.
Architecture & Workflow
Azure SQL Databases
Primary source of structured payment data
Cyera Connector
Pulls metadata and samples data for classification
Cyera Back-end
Applies AI-powered detection models and risk scoring
Reporting & Remediation
Dashboards, alerts, and compliance playbooks
Data Flow Summary
Best Practices & Tips
Performance Considerations
- Start with critical production databases
- Use sampling for very large tables
- Schedule scans during off-peak hours
Tuning Detection Rules
- Maintain allowlists for test card numbers
- Adjust confidence thresholds for credit card patterns
- Configure alerts for high-risk findings
Common Pitfalls
- Forgetting Azure Data Lake storage accounts
- Over-scanning development environments
- Neglecting to rotate service principal credentials