Skip to content
Cyber security roles
ASD ISMISM-2021

ASD ISM 2021 Implement and maintain data minimisation practices

What it says

System owners implement and maintain data minimisation practices for each of their systems.

Quoted as published. Everything else on this page is written by Control Stack.

What it means

In plain English

System owners should limit data collection and storage to what's necessary.

System owners should only collect and keep the data they truly need. This is important because storing unnecessary information makes an organisation more vulnerable to data breaches, which can lead to financial losses and harm to reputation.

Why it matters

Excessive data retention increases the risk of data breaches, leading to potential financial loss and reputational damage.

How to implement

  1. System owners should make a list of all the data they collect: Identify what information is needed for their operations.

    They could consult with team members who use the data to ensure they aren't collecting more than necessary.

  2. Managers should train staff on data minimisation: Organise training sessions where employees learn why and how to collect only essential data.

    Use simple examples to show how unnecessary data can expose the organisation to risk.

  3. The IT team should set up a regular data review: Schedule periodic checks to see what data is being stored and used.

    Delete or anonymise any information that isn't necessary for business operations.

  4. Procurement officers should evaluate data needs when acquiring new systems: Before purchasing software or services, ensure they align with the principle of data minimisation.

    Check with the vendor to ensure their systems don't require excessive data inputs.

  5. HR should update data handling policies: Work with legal advisors to ensure data collection practices comply with privacy laws.

    Provide clear guidelines and distribute them to all staff to reinforce a culture of data minimisation.

Keep it running

Regularly review what data is collected and retained, delete data no longer required, and record retention periods. Document and justify any exceptions to minimisation.

Evidence and audit

  1. Check 1 of 5What an auditor asks for

    Ask for

    The data inventory list: Request documentation of all types of data the organisation collects.

    Look at

    The list to ensure it only includes data absolutely necessary for operations.

    Good evidence

    Is a current, detailed data inventory with justifications for each data type.

  2. Check 2 of 5What an auditor asks for

    Ask for

    To see data review schedules: Obtain the timetable for regular data assessments.

    Look at

    Scheduled dates and evidence of previous reviews.

    Good evidence

    Schedule includes completed review dates and future review plans.

  3. Check 3 of 5What an auditor asks for

    Ask for

    Staff training records: Check documentation of training sessions focused on data minimisation.

    Look at

    Attendance logs and training content.

    Good evidence

    Record includes participant names, dates, and summarised training materials.

  4. Check 4 of 5What an auditor asks for

    Ask for

    Procurement evaluations: Review the documentation from recent purchases regarding data needs.

    Look at

    The evaluation criteria used to choose systems.

    Good evidence

    Shows how data minimisation was considered in procurement decisions.

  5. Check 5 of 5What an auditor asks for

    Ask for

    Updated data handling policies: Request the latest version of data management policies.

    Look at

    Sections that stress the importance of data minimisation.

    Good evidence

    Policy clearly outlines data collection limits and guidelines for staff.

Mappings

Closest match in ISO/IEC 27001: A.8.10, Secure deletion of information when no longer needed, which this control partially meets.

ISO 27001

ISO/IEC 27001: 2 mappings

ASD Essentials

ASD Essentials for enterprise IT: 1 mapping

Mappings show how controls relate across frameworks. They do not imply full equivalence or certification.