data-classification-engineer

Scan PostgreSQL databases to discover data assets and identify columns containing PII, PHI, and PCI using regex, ML, and heuristics. The scan labels sensitive columns like Saudi National IDs and maps them to PDPL and PCI compliance requirements.

Data discovery scans diverse data sources to identify and inventory assets. It assigns sensitivity labels like Public, Internal, or Confidential, mapping sensitive data directly to regulatory requirements like PDPL and GDPR for compliance.

Yes, the data classification workflow integrates with Kafka to support event-driven architectures. This enables automated data discovery, classification, and lineage tracking to be triggered and managed within event-driven workflows.

Yes, you can use this Node.js and TypeScript engine to scan cloud storage and databases for sensitive data. It detects PHI, PCI, and PII, assigns security labels, and tracks data lineage for governance.

The best way to classify Saudi National IDs and credit card numbers for PCI DSS compliance is using an automated scanner that detects these specific patterns, labels the data as Restricted, and maps the columns directly to PCI compliance requirements.

When governing data assets for enterprise GRC, sensitivity labels such as Public, Internal, and Confidential are applied. These labels map discovered data to regulatory requirements like PDPL, GDPR, and PCI DSS.