Isaca CISA Based on Real Exam Environment

The best reason to implement a data retention policy is to limit the liability associated with storing and protecting information. A data retention policy is a business’ established protocol for maintaining information, typically defining what data needs to be retained, the format in which it should be kept, how long it should be stored for, whether it should eventually be archived or deleted, who has the authority to dispose of it, and what procedure to follow in the event of a policy violation1. A data retention policy can help an organization to:

Comply with legal and regulatory requirements that mandate the retention and disposal of certain types of data, such as financial records, health records, or personal data

Reduce the risk of data breaches, theft, loss, or corruption by minimizing the amount of data stored and ensuring proper security measures are in place

Save costs and resources by optimizing the use of storage space and reducing the need for backup and recovery operations

Enhance operational efficiency and performance by eliminating unnecessary or outdated data and improving data quality and accessibility

Support business continuity and disaster recovery plans by ensuring critical data is available and recoverable in case of an emergency

Facilitate audit trails and investigations by providing evidence of data authenticity, integrity, and provenance

Therefore, by implementing a data retention policy, an organization can limit its liability associated with storing and protecting information, as well as improve its data governance and management practices.

The best tool for detailed testing of a business application’s data and configuration files is an audit analytics tool. An audit analytics tool is a software that helps auditors to analyze large sets of data and identify anomalies, trends, and patterns that are relevant to the audit objectives. An audit analytics tool can also provide audit evidence and support the auditor’s professional judgment and conclusions.

Some of the benefits of using an audit analytics tool are:

It can improve the efficiency and effectiveness of the audit by reducing the time and effort required to perform manual tests and procedures.

It can enhance the quality and reliability of the audit by increasing the coverage and accuracy of the data analysis and testing.

It can enable the auditor to perform more complex and sophisticated tests and procedures that may not be possible or feasible with traditional methods.

It can help the auditor to discover new insights and risks that may not be apparent or detectable with traditional methods.

Some examples of audit analytics tools are:

IDEA: A data analysis software that allows auditors to import, analyze, and visualize data from various sources and formats. It also offers features such as sampling, stratification, gap analysis, duplicate detection, Benford’s law, and regression analysis.1

ACL: A data analysis software that helps auditors to access, analyze, and report on data from various sources and formats. It also offers features such as sampling, stratification, gap analysis, duplicate detection, Benford’s law, regression analysis, and scripting.2

TeamMate Analytics: A data analysis software that integrates with Microsoft Excel and provides auditors with a range of tools and functions to perform data analysis and testing. It also offers features such as sampling, stratification, gap analysis, duplicate detection, Benford’s law, regression analysis, and scripting.3

The issue seems to stem from a breakdown in the workflow or process for handling assets that are due for destruction12. By examining the workflow, the IS auditor can identify where the process failed, such as why the vendor was not notified about the hard drives12. This could involve reviewing procedures for inventory management, communication with vendors, and tracking of assets due for destruction12. The findings can then be used to improve the workflow and prevent similar issues in the future12.

When an IS auditor discovers a security weakness in the database configuration, the next course of action should be to identify existing mitigating controls. This involves assessing whether any controls are already in place to address the weakness and mitigate the risk. Understanding the current state of controls helps the auditor determine the severity of the issue and whether additional corrective actions are