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A.8.33ISO 27001:2022 Annex A

Test information

ISO/IEC 27002:2022 attributes

Control type
Preventive
Security properties
Confidentiality · Integrity
Cybersecurity concept
Protect
Operational capability
Information protection
Security domain
Protection

Attribute tags as published in ISO/IEC 27002:2022, compiled from public listings — confirm against your licensed copy.

Plain-language summary

Choosing, protecting and managing the data used for testing — preferably synthetic or masked, with live copies only under approval, protection and prompt deletion — so test environments do not become an unprotected copy of your live personal and confidential information.

What the clause is really asking

Test environments are usually less protected than production, with more people, including consultants, given access. When live data is copied in for realism, sensitive information ends up there. This control asks you to select test information appropriately and protect it. The preferred route is test data that is synthetic or masked so it no longer identifies anyone. Where production data must be used, the control expects the same access controls as production, a recorded authorisation for each copy, logging of the copy, and deletion as soon as testing ends. In South Africa this is a POPIA question first: copying customers' or employees' personal information into a test system is further processing that must be compatible with the original purpose (section 15), should use no more than is needed (section 10), and still needs section 19 safeguards. The common misunderstanding is that a test system is internal and therefore safe; consultants and test accounts with weak passwords say otherwise. In practice this bites at ERP upgrades and payroll system changes, when the whole live company is copied to test.

What auditors look for

Auditors ask how test data is obtained for your key systems, and then look in a test environment — the ERP test company, the staging website, the payroll test instance — for live personal information. If they find it, they ask who approved the copy, who has access, whether access controls match production and when it will be deleted. They ask whether masking or synthetic data was considered. They check consultants' access to the test system. The hard question: how many copies of your customer or employee data exist outside production right now, and who can see them?

Typical evidence

Test data procedure or rules; approval records for copying production data to test; masking or anonymisation method and records; access lists for test environments; logs of production data copies; deletion records after testing; POPIA assessment of using personal information in testing; register of test environments holding live data.

How to comply — recommendations

Write a half-page rule: testing uses synthetic or masked data by default; copying live personal or confidential information into a test environment needs written approval from the information owner, must be masked where the test allows, gets the same access controls as production, and is deleted on a set date. Find out which of your systems can mask data on copy — many ERP and payroll products can, and test data generators cover the rest. Keep a register of production copies with approver, purpose and deletion date. Check the test environments quarterly against the register and remove stale copies.

Common nonconformities

Full copies of live personal information in test environments without approval; test environments with weaker access controls than production; consultants with access to live data in test; masking or anonymisation never considered; production copies never deleted after testing; no record of copies made; POPIA implications of test use not assessed.

Related clauses

ISO/IEC 27002:2022 8.33 (guidance); ISO 27001 6.1.3 (treatment); Annex A 5.34 (privacy and protection of PII), 8.10 (information deletion), 8.11 (data masking), 8.29 (security testing), 8.31 (separation of environments); POPIA s10 (minimality), s15 (further processing), s19 (security safeguards); NIST CSF 2.0 PR.DS (data security).

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