Helping Hand Questions for CISA

Answer: A. Risk policies

Risk appetite is the amount and type of risk that an organization is willing to accept in pursuit of its objectives. Risk appetite reflects the organization’s risk culture, strategy, and tolerance, and guides the organization’s risk management practices. The most useful informationabout risk appetite can be obtained from the risk policies, which are the documents that define the organization’s risk management framework, principles, objectives, roles, responsibilities, and processes. Risk policies also establish the criteria and thresholds for identifying, assessing, prioritizing, mitigating, and monitoring risks, as well as the reporting and escalation mechanisms for risk issues. By reviewing the risk policies, an IS auditor can evaluate whether they are consistent, comprehensive, and aligned with the organization’s risk appetite and whether they provide clear guidance and direction for managing risks effectively.

The other options are not correct because they are either not the most useful or not relevant to risk appetite. Risk assessments are the processes of identifying, analyzing, and evaluating the risks that may affect the organization’s objectives. Risk assessments provide information about the current risk profile and exposure of the organization, but they do not indicate the organization’s risk appetite or preferences. Prior audit reports are the documents that summarize the findings, recommendations, and conclusions of previous audits. Prior audit reports may provide information about the past performance and issues of the organization’s risk management practices, but they do not reflect the organization’s risk appetite or expectations. Management assertion is a statement or declaration made by management about the accuracy, completeness, validity, or reliability of a certain fact or data. Management assertion may provide information about the management’s confidence or opinion on a specific risk or issue, but it does not represent the organization’s risk appetite or criteria.

Substantive testing © provides the best evidence of the validity and integrity of logs in an organization’s security information and event management (SIEM) system, because it is a type of audit testing that directly examines the accuracy, completeness, and reliability of the data and transactions recorded in the logs. Substantive testing can involve various methods, such as re-performance, inspection, observation, inquiry, or computer-assisted audit techniques (CAATs), to verify the existence, occurrence, valuation, ownership, presentation, and disclosure of the log data1. Substantive testing canalso detect any errors, omissions, alterations, or manipulations of the log data that may indicate fraud or misstatement2.

Compliance testing (A) is not the best evidence of the validity and integrity of logs in an organization’s SIEM system, because it is a type of audit testing that evaluates the design and effectiveness of the internal controls that are implemented to ensure compliance with laws, regulations, policies, and procedures. Compliance testing can involve various methods, such as walkthroughs, questionnaires, checklists, or flowcharts, to assess the adequacy, consistency, and operation of the internal controls1. Compliance testing can provide assurance that the log data are generated and processed in accordance with the established rules and standards, but it does not directly verify the accuracy and reliability of the log data itself2.

Stop-or-go sampling (B) is not a type of audit testing, but a type of sampling technique that auditors use to select a sample from a population for testing. Stop-or-go sampling is a sequential sampling technique that allows auditors to stop testing before reaching the predetermined sample size if the results are satisfactory or conclusive. Stop-or-go sampling can reduce the audit cost and time by avoiding unnecessary testing, but it can also increase the sampling risk and uncertainty by relying on a smaller sample3. Stop-or-go sampling does not provide any evidence of the validity and integrity of logs in an organization’s SIEM system by itself; it depends on the type and quality of the audit tests performed on the selected sample.

Variable sampling (D) is not a type of audit testing, but a type of sampling technique that auditors use to estimate a numerical characteristic of a population for testing. Variable sampling is a statistical sampling technique that allows auditors to measure the amount or rate of error or deviation in a population by using quantitative methods. Variable sampling can provide precise and objective results by using mathematical formulas and confidence intervals4. Variable sampling does not provide any evidence of the validity and integrity of logs in an organization’s SIEM system by itself; it depends on the type and quality of the audit tests performed on the selected sample.

Data migration is the process of moving data from one system to another, which may involve changes in storage, database, or application. To perform a successful data migration, it is essential to understand the data structure of the new system, which defines how the data is organized, stored, and accessed. Understanding the new system’s data structure will help determine the following aspects of the data migration project:

The scope and requirements of the data migration, such as what data needs to be migrated, how much data needs to be migrated, and what are the quality and performance expectations.

The data mapping and transformation rules, such as how the data elements from the source system correspond to the data elements in the target system, and what transformations or conversions are needed to ensure compatibility and consistency.

The data validation and testing methods, such as how to verify that the migrated data is accurate, complete, and functional in the new system, and how to identify and resolve any errors or issues.

Therefore, understanding the new system’s data structure is a crucial first step in a data migration project, as it lays the foundation for the subsequent steps of data extraction, transformation, loading, validation, and testing.

 The best option for ensuring confidentiality through the use of asymmetric encryption is to encrypt a message with the recipient’s public key (option A). This is because:

Asymmetric encryption, also known as public-key cryptography, is a type of encryption that uses a pair of keys to encrypt and decrypt data. The pair of keys includes a public key, which can be shared with anyone, and a private key, which is kept secret by the owner12.

In asymmetric encryption, the sender uses the recipient’s public key to encrypt the data. The recipient then uses their private key to decrypt the data. This approach allows for secure communication between two parties without the need for both parties to have the same secret key12.

Encrypting a message with the recipient’s public key ensures that only the recipient can decrypt it with their private key. This provides confidentiality, which means that the message is protected from unauthorized access or disclosure12.

Encrypting a message with the sender’s private key (option B) does not ensure confidentiality, but rather authentication, which means that the message can be verified as coming from the sender. This is because anyone can decrypt the message with the sender’s public key, but only the sender can encrypt it with their private key12.

Encrypting a message with the sender’s public key (option C) or the recipient’s private key (option D) does not make sense, as it would render the message unreadable by both parties. This is because neither party has the corresponding key to decrypt it12.

Therefore, the best option for ensuring confidentiality through the use of asymmetric encryption is to encrypt a message with the recipient’s public key (option A), as this ensures that only the recipient can decrypt it with their private key.