Data Security Policy
1

Confidential Statement

This document may not, in whole or in part, be copied, photocopied, reproduced, translated, or reduced to any electronic medium or machine-readable form, by any means electronic, mechanical, photographic, optic recording or otherwise without prior consent, in writing, of the information owner.

Document Control

Document NameData Security Policy
Document Reference NumberIS 24 Data Security Policy
Issue Number01
Revision00
Document Prepared byCISO
Document Reviewed byIT
Document Approved byDirector
Document ClassificationFor Internal Use only
Signature Approval stamp
2
Table of Contents
3
1. Purpose

This Data Masking Policy is established to ensure the protection of sensitive information within our organization, in compliance with the ISO 27001:2022 standard. Data masking is a crucial component of our information security strategy to safeguard confidential data while allowing for legitimate use in non-production environments. This policy applies to all employees, contractors, and third-party entities with access to sensitive information within our organization.

2. Definition of Data Masking

Data masking is the process of concealing original data with fictitious or pseudonymous data to protect sensitive information while maintaining its usability for authorized purposes.

3. Objectives:

The primary objectives of this policy are:

  • To protect sensitive data from unauthorized access in non-production environments.
  • To enable legitimate use of data for testing, development, and analysis without exposing sensitive information.
  • To comply with ISO 27001:2022 standards related to data protection.
4. Data Classification:

All data must be classified based on its sensitivity and criticality. The organization will use a standardized classification system to identify and categorize data.

  • Public Data: Information that can be freely shared.
  • Internal Data: Sensitive information meant for internal use only.
  • Confidential Data: Highly sensitive information that requires the highest level of protection.
5. Data Masking Techniques:

The organization will employ industry-standard data masking techniques, such as:

  • Substitution: Replacing sensitive data with fictitious data.
  • Shuffling: Randomizing the order of data records.
  • Tokenization: Replacing sensitive data with randomly generated tokens.
  • Noise Addition: Introducing random noise to data to make it harder to discern.
6. Data Masking in Non-Production Environments:

Sensitive data must be masked in all non-production environments, including but not limited to:

  • Development environments
  • Testing environments
  • Quality assurance environments
7. Access Controls
4

Access to masked data in non-production environments will be restricted to individuals with a legitimate business need. Access permissions will be reviewed regularly, and any unnecessary access will be revoked.

8. Monitoring and Auditing

Regular monitoring and auditing of data masking processes will be conducted to ensure compliance with this policy. Any deviations or incidents will be promptly investigated and addressed.

9. Training and Awareness:

All personnel with access to sensitive data will receive training on data masking procedures and their responsibilities in maintaining data security.

10. Review and Revision:

This policy will be reviewed at least annually and updated as necessary to address changes in technology, business processes, or regulatory requirements.

11. Enforcement:

Failure to comply with this Data Masking Policy may result in disciplinary action, up to and including termination of employment or legal action, as appropriate.

12. Document Control:

This policy is a controlled document, and any changes must be approved by the designated authority. The latest version will be made available to all relevant personnel.

5