What is Data Sensitivity Classification

Definition

Data sensitivity classification is the process of categorising data by how sensitive it is, such as public, internal, confidential, or restricted, so that appropriate security, access, and handling controls can be applied automatically based on each category.

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Categorises data so the right controls apply automatically
Focuses protection on the most sensitive data
Supports compliance by identifying regulated data
Guides access, encryption, and handling decisions consistently

Real World Example

A firm classifies its data into public, internal, confidential, and restricted tiers, so restricted records automatically receive encryption and tight access controls while public data is shared freely, applying protection proportionate to sensitivity.

FAQs

What are typical sensitivity levels?

Categories such as public, internal, confidential, and restricted, ordered by how damaging exposure would be.

Why classify data by sensitivity?

So security, access, and handling controls can be applied automatically and proportionately to each category.

How is classification applied?

Through labels, often assisted by automated tools, that drive access, encryption, and handling policies.