ETiCPA ATQE Exam study materials
ETiCPA ATQE Exam study resources

ETiCPA ATQE Exam: Data Management, Privacy and Emerging Technology

ETiCPA ATQE Exam · Work through your exam, one topic at a time.

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Data Management, Privacy and Emerging Technology

Domain 8 tests data governance, privacy obligations and the assurance approach for newer technology, where the auditor often has less direct visibility and more dependence on third parties.

Data governance and quality

  • Assign ownership and stewardship, classify data (public, internal, confidential, restricted), set retention and destruction schedules, and operate data loss prevention.
  • Quality dimensions: completeness, accuracy, timeliness, consistency, uniqueness, validity. Test the dimension the business process actually depends on.
  • Lifecycle: create, store, use, share, archive, destroy, with evidence of secure destruction rather than a policy statement.

Privacy

  • A controller determines purpose and means; a processor acts on documented instructions. Audit the party carrying the obligation, and read the contract when the two differ.
  • Core principles: lawful basis, purpose limitation, minimisation, accuracy, storage limitation, integrity and confidentiality, accountability.
  • GDPR items that appear in questions: DPO appointment, DPIA for high-risk processing, 72-hour breach notification to the regulator, data subject rights, and transfer mechanisms such as adequacy decisions or standard contractual clauses.
  • Privacy by design and by default. Pseudonymisation reduces risk but is not anonymisation.

Emerging technology

  • Cloud: shared responsibility model, due diligence on SOC 2 or ISO/IEC 27001 reports, data residency, sub-processor listing, key custody (BYOK/HYOK), exit and deletion terms.
  • AI: model inventory and governance, training data provenance and rights, bias and performance testing, human oversight, explainability, logging, and alignment with the NIST AI Risk Management Framework or ISO/IEC 42001.
  • RPA: bot identities and credentials, bot change control, segregation between bot builder and bot operator.
  • Blockchain: immutability supports integrity but does nothing for confidentiality or input accuracy.

Worked example

An HR SaaS platform processes EU employee data. Review the data processing agreement, sub-processor list, transfer mechanism, breach notification terms against the 72-hour obligation, retention and deletion on exit, and the provider's SOC 2 Type 2 including complementary user entity controls. The provider's certificate alone does not evidence that this organisation configured the service correctly.

Traps

  • Calling a processor a controller, or the reverse.
  • Treating encryption as anonymisation.
  • Limiting cloud assurance to the provider's certification.
  • Auditing AI accuracy without asking who is accountable for model risk.