Note

This content is adapted from a cloud security training video and formatted for knowledge base integration.

Why Data Classification Matters

The last thing anyone wants is for their personal data to be leaked or stolen. As a cloud security professional, your role involves protecting sensitive information from unauthorized access.


What is Data Classification?

Data classification is the process of analyzing data to determine its:

  • Sensitivity
  • Type
  • Value

This categorization helps organizations efficiently secure and manage data.

Sensitivity Levels

Data is generally categorized into three sensitivity levels:

🟢 Low Sensitivity

  • Low risk if exposed.
  • Examples: Public blog posts, open-access content.

🟡 Medium Sensitivity

  • Not public, but not critically sensitive.
  • Examples: Internal memos without personal or confidential data.

🔴 High Sensitivity

  • High risk and high value.
  • Examples: Personal financial data, legal documents, SSNs, company secrets.

Warning

High sensitivity data requires the strongest security controls. Breaches may result in fines, legal consequences, and reputational damage.


What Are Tags in Cloud Security?

Tags are custom metadata fields that help classify and manage data assets. They provide critical context, like:

  • Who is responsible for the data
  • Whether it contains sensitive data such as PII

Example: PII Tag

A typical tag for Personally Identifiable Information (PII) might look like this:

label: PII  
bool: true  
type: SSN

Tip

The bool field is a Boolean type, meaning its value can be either true or false.

This tag indicates that the asset contains sensitive SSNs and should be treated with high security.


Tag Templates and IAM Roles

You can streamline classification by using tag templates—reusable structures for consistent tagging.

Access to tag templates can be managed using IAM roles (Identity and Access Management), allowing or denying specific users the ability to assign or view sensitive tags.

Example

A tag template might include fields like classification, owner, retention, and data-type.


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