Data classification

What is meant by Data classification?

The term "Data Classification" refers to the process of systematically categorizing data based on its sensitivity, importance, and legal requirements. This process helps organizations effectively organize, protect, and manage their data by defining how different types of information should be handled and secured.

Typical software functions in the area of "Data Classification":

1. Automatic detection: Identification and categorization of data based on predefined rules and patterns.
2. Rule-based classification: Creation and application of custom classification rules.
3. Metadata tagging: Adding classification information to files as metadata.
4. Permission management: Automatic adjustment of access rights based on data classification.
5. Encryption integration: Automatic encryption of sensitive data according to its classification.
6. Reporting and auditing: Generation of reports on data classification and tracking of changes.

Examples of "Data Classification":

1. Public: Generally accessible information such as press releases or product catalogs.
2. Internal: Documents intended for internal use such as employee handbooks or process descriptions.
3. Confidential: Sensitive business information such as financial reports or strategy plans.
4. Strictly confidential: Highly sensitive data such as customer data or trade secrets.
5. Personal data: Information subject to data protection laws, such as names or addresses.
6. Regulated data: Information subject to specific regulations, such as health data (HIPAA) or payment card data (PCI DSS).