Exam CISM topic 1 question 28 discussion

The keyword in the question was integrity. CIA triad, how do you determine integrity and the data hasn’t changed? With hashes and checksums.

Application data integrity risk primarily concerns ensuring that data remains accurate, consistent, and unaltered during storage, processing, or transfer. Reconciliation routines such as checksums, hash totals, and record counts are specifically designed to detect changes or modifications to the data. These methods verify that the data has not been tampered with or corrupted by comparing stored data to its original state.

Reconciliation routines, including checksums, hash totals, and record counts, are designed to ensure the accuracy and integrity of application data. These methods help detect errors or unauthorized changes to data by comparing the current state of data with a known or expected state. Reconciliation routines play a crucial role in maintaining data integrity and detecting any discrepancies that may indicate data corruption or tampering. While the other options (strict application of an authorized data dictionary, application log requirements, and access control technologies) are important for various aspects of information security, reconciliation routines directly address the risk of data integrity by providing a means to verify the consistency and accuracy of application data.

B. reconciliation routines such as checksums, hash totals, and record counts.

B, hash always related to integrity

Reconciliation routines like checksums, hash totals, and record counts are used to detect any changes or modifications to the data. These routines enable organizations to verify the integrity of their data by comparing the stored data to the original data. This helps to ensure that the data has not been tampered with or altered in any way, which is the primary concern when addressing data integrity risks.