CRISC Exam Dumps - Certified in Risk and Information Systems Control

Pseudonymizationreplaces identifying fields in a data record with artificial identifiers or pseudonyms. However, unlike full anonymization,re-identification remains possibleif the pseudonym can be matched with external or hidden reference data.

CRISC and privacy-risk guidance (aligned with GDPR principles) emphasize that:

“The primary concern when using pseudonymization as a privacy safeguard is the potential for re-identification of individual data subjects.”

Pseudonymized data can still be linked back to individuals if the mapping key or auxiliary datasets are compromised.

True anonymization eliminates any reasonable means of re-identification, but pseudonymization does not.

Therefore, while pseudonymization reduces exposure, it doesnot fully eliminateprivacy risk.

Options A, B, and D are not inherent to pseudonymization:

Authorized access and update restrictions are policy issues, not intrinsic to pseudonymization.

Other information disclosure (D) could occur through inference but is secondary to direct re-identification.

Hence,C. Individual data subjects can be re-identifiedis the correct and verified answer as per CRISC and GDPR-aligned data protection practices.

The correct answer is B because anonymous reporting requires a reporting channel through which employees can raise concerns or report non-compliant activity without being personally identified. ISACA’s Code of Professional Ethics includes reporting obligations and states that anyone who witnesses a member violation can report it through the ethics complaint process.

The uploaded CRISC notes emphasize that a risk-aware culture escalates issues when suspicious activity is noticed and that failure to internally report a successful attack is a major concern.

A is too technical and unrelated to employee reporting. C may support compliance oversight, but it does not ensure anonymous reporting. D may encourage reporting, but incentives do not provide anonymity.

===========

When using a third party to perform penetration testing, the most important control to minimize operational impact is to clearly define the project scope. This means specifying the objectives,boundaries, methods, and deliverables of the testing, as well as the roles and responsibilities of the parties involved. A clear project scope helps to avoid misunderstandings, conflicts, and disruptions that could compromise the security, availability, or integrity of the systems undertest. It also helps to ensure that the testing is aligned with the organization’s risk appetite and compliance requirements. References = Risk and Information Systems Control Study Manual, 7th Edition, Chapter 3, Section 3.2.3.2, Page 137.

A loss event is an occurrence that results in a negative consequence or damage for an organization, such as a data breach, a cyberattack, or a natural disaster. The impact of a loss event is the extent or magnitude of the harm or loss caused by the event, such as financial losses, reputational damage, operational disruptions, or legal liabilities. A newly enacted information privacy law that significantly increases financial penalties for breaches of personally identifiable information (PII) will most likely increase the impact of a loss event for an organization affected by the new law, because it will increase the potential cost and severity of a data breach involving PII. The other options are not as likely as an increase in loss event impact, because they do not directly result from the new law, but rather depend on other factors, such as the organization’s risk management capabilities, as explained below:

A. Increase in compliance breaches is not a likely outcome, because it assumes that the organization will not comply with the new law, which would expose it to more risks and penalties. A rational organization would try to comply with the new law by implementing appropriate controls and measures to protect PII and prevent data breaches.

C. Increase in residual risk is not a likely outcome, because it assumes that the organization will not adjust its risk response strategies to account for the new law, which would leave it with more risk exposure than desired. A prudent organization would try to reduce its residual risk by enhancing its risk mitigation controls or transferring its risk to a third party, such as an insurance company.

D. Increase in customer complaints is not a likely outcome, because it assumes that the organization will experience more data breaches involving PII, which would affect its customersatisfaction and loyalty. A responsible organization would try to avoid data breaches by improving its security posture and practices, and by communicating transparently and effectively with its customers about the new law and its implications. References = Risk and Information Systems Control Study Manual, Chapter 2, Section 2.1.1, page 32.

Penetration test resultsprovide direct evidence of the vendor’s technical security posture and ability to defend against real-world attacks. This is more effective than reviewing contracts or benchmarking, which are indirect measures.

The effectiveness of a control action plan’s implementation can be measured by the extent to which it achieves the desired risk reduction. A control action plan is a set of actions that are designed to address the root causes of a risk and mitigate its impact or likelihood. The best indicator of the effectiveness of a control action plan’s implementation is the reduced risk level, which means that the risk is either eliminated or brought within the acceptable range. The otheroptions are not the best indicators, because they do not directly reflect the risk reduction. Increased number of controls may not necessarily reduce the risk level, especially if the controls are not aligned with the risk causes, objectives, and priorities. Increased risk appetite may indicate a higher tolerance for risk, but it does not mean that the risk level has been reduced. Stakeholder commitment may facilitate the implementation of the control action plan, but it does not guarantee the effectiveness of the plan. References = Risk and Information Systems Control Study Manual, 7th Edition, Chapter 3: Risk Response, Section 3.2: Control Action Plan, p. 170-171.

Assigning a data owner would best facilitate the implementation of data classification requirements. A data owner is responsible for defining the classification of the data, ensuring that the data is properly labeled, and approving access requests. Implementing technical control over the assets, implementing a data loss prevention (DLP) solution, and scheduling periodic audits are important activities, but they are not as effective as assigning a data owner. References = ISACA Certified in Risk and Information Systems Control (CRISC) Certification Exam Question and Answers, question 8; CRISC Review Manual, 6th Edition, page 97.

Data biasin machine learning algorithms can lead to inaccurate predictions or decisions, as biases in training data are amplified in the output. Addressing bias is essential for ethical and reliable algorithm performance.