Integrity controls are application controls designed to monitor data being processed to ensure that it remains accurate, consistent, and valid throughout its lifecycle. These controls help detect and prevent data corruption, unauthorized modifications, and inconsistencies in transactional systems.
Integrity controls enforce data validation, consistency checks, and reconciliation procedures to prevent errors during processing.
Examples include checksum validation, referential integrity constraints, and automated reconciliations to ensure data accuracy.
The IIA’s Global Technology Audit Guide (GTAG) 8 – Auditing Application Controls highlights integrity controls as a key measure in maintaining data reliability.
A. Management trail controls → Incorrect. These refer to audit trails and logs that track changes and actions within a system but do not actively monitor or correct data integrity.
B. Output controls → Incorrect. These focus on ensuring final reports, documents, or processed data outputs are accurate but do not monitor data during processing.
D. Input controls → Incorrect. These verify the accuracy and completeness of data at the point of entry, but they do not continuously monitor data throughout processing.
IIA GTAG 8 – Auditing Application Controls recommends integrity controls to maintain data accuracy.
IIA Standard 2120 – Risk Management states that internal auditors should assess data integrity risks in business processes.
ISACA’s COBIT Framework identifies data integrity as a key IT control objective.
Why Option C is Correct?Explanation of the Other Options:IIA References & Best Practices:Thus, the correct answer is C. Integrity controls.
