Data Classification Policy Template

Introduction

Purpose and Use

Classifying data according to its sensitivity and value enables organisations to apply appropriate controls for protection and compliance. This policy template establishes a framework for categorising, labelling and handling data to ensure consistent treatment and reduce the risk of unauthorised disclosure or loss. It aligns with requirements from UK GDPR, Data Protection Act 2018, ISO/IEC 27001, and Cyber Essentials.

Use this template to create a Data Classification Policy that suits your organisation’s size, industry, and risk profile. It should be customised to reflect the types of information you process and the regulatory obligations you must meet.

Who This Template Is For

• Data owners and stewards responsible for information assets.
• IT and security teams implementing technical and procedural controls.
• Organisations pursuing compliance with UK GDPR, ISO/IEC 27001 or seeking certification under Cyber Essentials.

Alternative Names You Might See

• Information Classification Policy
• Data Handling Policy
• Information Sensitivity Policy

Data Classification Policy Template

1. Document Management

• Organisation Name: [Insert organisation name]
• Document Owner: [Role/title responsible for the policy]
• Version: [e.g. 1.0]
• Classification: [e.g. Internal / Public / Confidential]
• Issue Date: [Date of current issue]
• Next Review Date: [Date for next review]
• Supersedes: [If applicable, previous versions]
• Approval: [Senior management approval]
• Change History: Include a table recording version, date, author and summary of changes.

2. Purpose

The purpose of this policy is to:

1. Establish a standard framework for classifying organisational data based on sensitivity and criticality.
2. Ensure that data receives protection commensurate with its classification level.
3. Support compliance with applicable laws and regulations, including UK GDPR, Data Protection Act 2018, ISO/IEC 27001, and Cyber Essentials.

3. Scope

This policy applies to:

• All data created, processed, stored or transmitted by the organisation, regardless of format (electronic, paper, audio, etc.).
• All employees, contractors and third parties handling organisational data.
• All systems and environments where organisational data resides (on‑premises, cloud, mobile devices).

4. Roles and Responsibilities

4.1 Senior Management / Board

• Approve the Data Classification Policy and allocate resources for implementation.
• Hold data owners accountable for classifying and protecting information.

4.2 Data Owners / Stewards

• Identify and classify data within their domain in accordance with policy.
• Determine handling requirements and access controls based on classification.
• Review and update classifications when data changes in sensitivity or context.

4.3 Information Security / IT Function

• Provide tools and processes for classification, labelling and handling of data.
• Implement technical controls (e.g. encryption, access restrictions) commensurate with classification.
• Conduct audits to verify that data is classified and handled correctly.

4.4 All Users

• Handle data according to its classification and comply with usage restrictions.
• Do not downgrade or reclassify data without approval from the data owner.
• Report any suspected misclassification or mishandling of data.

5. Classification Scheme

5.1 Classification Levels

Define classification categories suited to your organisation. A typical scheme includes:

• Public: Information intended for public disclosure (e.g. marketing materials, publicly posted documents). Requires minimal protection.
• Internal: Information that is not public but whose disclosure would have minimal impact (e.g. internal policies, procedures). Access restricted to employees and authorised individuals.
• Confidential: Sensitive information that could cause harm if disclosed (e.g. customer data, contracts, HR records). Requires strong access controls and protection measures.
• Restricted: Highly sensitive information that could cause significant harm if disclosed (e.g. trade secrets, cryptographic keys, medical data). Access limited to authorised personnel on a need-to-know basis.

5.2 Classification Criteria

• Sensitivity of information (legal, financial, reputational impact).
• Regulatory or contractual obligations governing the data.
• Lifecycle stage (e.g. draft vs. final, active vs. archived).

5.3 Labelling Requirements

• Data must be labelled with its classification level in a clear and consistent manner.
• For electronic documents, classification can be added to headers/footers or metadata; for physical documents, labels or stamps should be used.

6. Handling Requirements

For each classification level, define minimum handling requirements. Example:

• Public: No restrictions; may be freely distributed.
• Internal: Store on internal systems, share only with authorised colleagues; apply standard security controls.
• Confidential: Encrypt in transit and at rest, restrict access, use secure storage and transmission methods, do not share externally without NDA and approval.
• Restricted: Highest level of protection; encrypt, limit access to named individuals, record access logs, consider using dedicated secure environments.

7. Data Lifecycle Considerations

• Classification applies throughout the data lifecycle: creation, storage, use, sharing, archiving, and destruction.
• Re-evaluate classifications when data is modified, aggregated or transferred to new systems.
• Ensure that retention and disposal of data follow the Data Retention & Disposal Policy and Data Destruction / Media Sanitisation Policy.

8. Training and Awareness

• Data owners and users must be trained on classification procedures, labelling standards and handling requirements.
• Periodic refreshers and reminders should be provided to reinforce correct behaviour.

9. Monitoring and Compliance

• Periodic audits should verify that data is properly classified and handled according to policy.
• Any deviations must be addressed promptly and corrective action taken.

10. Exceptions

• Exceptions to this policy must be documented, justified and approved by senior management.
• Compensating controls must be implemented where exceptions are granted.

11. Policy Communication

• This policy must be communicated to all staff and relevant third parties. It should be accessible on the organisational intranet or Knowledge Base.
• Updates should be disseminated whenever classification schemes or handling requirements change.

12. Supporting Policies and Standards

• Asset Management Policy – guidelines for identifying and managing assets.
• Data Retention & Disposal Policy – defines retention periods and disposal procedures.
• Information Security Policy – overarching framework for protecting information assets.
• Acceptable Use Policy – rules for proper use of organisational resources.

13. Policy Add‑ons

Additional details may be included based on organisational needs:

• Classification Responsibilities Matrix – mapping classification levels to specific handling controls.
• Automated Data Classification Tools – processes for scanning and tagging sensitive data in systems.
• Specific Compliance Requirements – e.g. PCI DSS, PECR.

Use this template as a foundation and adapt it to suit your organisation’s needs and the specific data you handle. Review and update the policy regularly to respond to evolving threats, regulations and business requirements.