Helping Hand Questions for CISA

The most important prerequisite for the protection of physical information assets in a data center is a complete and accurate list of information assets that have been deployed. Information assets are any data, devices, systems, or software that have value for the organization and need to be protected from unauthorized access, use, disclosure, modification, or destruction4. A data center is a facility that houses various information assets such as servers, storage devices, network equipment, etc., that support the organization’s IT operations and services5. A complete and accurate list of information assets that have been deployed in a data center can help to identify and classify the assets based on their importance, sensitivity, or criticality for the organization. This can help to determine the appropriate level of protection and security measures that need to be applied to each asset. A complete and accurate list of information assets can also help to track and monitor the location, status, ownership, usage, configuration, maintenance, etc., of each asset. This can help to prevent or detect any unauthorized or inappropriate changes or movements of assets that may compromise their security or integrity. Segregation of duties between staff ordering and staff receiving information assets, availability and testing of onsite backup generators, and knowledge of the IT staff regarding data protection requirements are also important prerequisites for the protection of physical information assets in a data center, but not as important as a complete and accurate list of information assets that have been deployed. These factors are more related to the implementation and maintenance of security controls and procedures that depend on having a complete and accurate list of information assets as a starting point. References: ISACA CISA Review Manual 27th Edition, page 308

 Secure code reviews as part of a continuous deployment program are preventive controls. Preventive controls are controls that aim to prevent or avoid undesirable events or outcomes from occurring, such as errors, defects, or incidents. Secure code reviews are activities that examine and evaluate the source code of a software or application to identify and eliminate any vulnerabilities, flaws, or weaknesses that may compromise its security, functionality, or performance. Secure code reviews as part of a continuous deployment program can help prevent or avoid security issues or incidents from occurring by ensuring that the code is secure and compliant before it is deployed to production. The other options are not correct types of controls for secure code reviews as part of a continuous deployment program, as they have different meanings and functions. Detective controls are controls that aim to detect or discover undesirable events or outcomes that have occurred, such as errors, defects, or incidents. Logical controls are controls that use software or hardware mechanisms to regulate or restrict access to IT resources, such as data, systems, or networks. Corrective controls are controls that aim to correct or rectify undesirable events or outcomes that have occurred, such as errors, defects, or incidents. References: CISA Review Manual (Digital Version), Chapter 3, Section 3.2

The best way to protect sensitive information such as personally identifiable information (PII) stored in a particular data format while allowing the software developers to use it in development and test environments is data masking. Data masking is a technique that replaces or obscures sensitive data elements with fictitious or modified data elements that retain the original format and characteristics of the data. Data masking can help protect sensitive information such as PII stored in a particular data format while allowing the software developers to use it in development and test environments by preventing the exposure or disclosure of the real data values without affecting the functionality or performance of the software or application. The other options are not as effective as data masking in protecting sensitive information such as PII stored in a particular data format while allowing the software developers to use it in development and test environments, as they have different limitations or drawbacks. Data tokenization is a technique that replaces sensitive data elements with non-sensitive tokens that have no intrinsic value or meaning. Data tokenization can protect sensitive information such as PII from unauthorized access or theft, but it may not retain the original format and characteristics of the data, which may affect the functionality or performance of the software or application. Data encryption is a technique that transforms sensitive data elements into unreadable or unintelligible ciphertext using an algorithm and a key. Data encryption can protect sensitive information such as PII from unauthorized access or modification, but it requires decryption to restore the original data values, which may introduce additional complexity or overhead to the software development process. Data abstraction is a technique that hides the details or complexity of data structures or operations from users or programmers by providing a simplified representation or interface. Data abstraction can help improve the usability or maintainability of software or applications, but it does not protect sensitive information such as PII from exposure or disclosure. References: CISA Review Manual (Digital Version), Chapter 5, Section 5.3.2

 An organization’s audit charter primarily describes the auditors’ authority to conduct audits. The audit charter is a formal document that defines the purpose, scope, responsibilities, and reporting relationships of the internal audit function. It also establishes the auditors’ right of access to information, records, personnel, and physical properties relevant to their work. The audit charter provides the basis for the auditors’ independence and accountability to the governing body and senior management.