What is Azure Database Data Discovery and Classification?

Azure Database Data Discovery and Classification is a feature of Azure SQL Database that helps organizations classify and label their sensitive data, as well as discover and track where that data is stored within their databases. This feature helps organizations comply with various data protection regulations, such as GDPR and HIPAA, by providing visibility into their data and enabling them to implement appropriate security measures to protect it.

Usage examples of Azure Database Data Discovery and Classification include:

1. Labeling and classification of sensitive data: Using Azure Database Data Discovery and Classification, organizations can identify sensitive data within their databases, such as credit card numbers, social security numbers, and other personally identifiable information. They can then apply appropriate labels and classifications to that data, making it easier to manage and protect.
2. Discovery and tracking of sensitive data: Azure Database Data Discovery and Classification allows organizations to track where sensitive data is stored within their databases. This enables them to identify potential security risks and take appropriate actions to protect the data.
3. Compliance with data protection regulations: Azure Database Data Discovery and Classification helps organizations comply with various data protection regulations, such as GDPR and HIPAA, by providing visibility into their data and enabling them to implement appropriate security measures to protect it.
4. Integration with other Azure services: Azure Database Data Discovery and Classification can be integrated with other Azure services, such as Azure Information Protection, to provide a comprehensive data protection solution.

Azure Database Data Discovery and Classification is a useful feature for organizations that need to protect sensitive data and comply with data protection regulations. By providing visibility into their data and enabling appropriate security measures, organizations can reduce their risk of data breaches and protect their reputation.