Isaca Isaca Certification CRISC New Questions

A vulnerability management process is a process that identifies, analyzes, prioritizes, and remediates the vulnerabilities in the IT systems and applications. The effectiveness of a vulnerability management process can be measured by the key performance indicators (KPIs) that reflect the achievement of the process objectives and the alignment with the enterprise’s risk appetite and tolerance. The best KPI to measure the effectiveness of a vulnerability management process is the percentage of vulnerabilities remediated within the agreed service level. This KPI indicates how well the process is able to address the vulnerabilities in a timely and efficient manner, and reduce the exposure and impact of the risks associated with the vulnerabilities. The other options are not as good as the percentage of vulnerabilities remediated within the agreed service level, as they may not reflect the quality or timeliness of the remediation actions, or the alignment with the enterprise’s risk appetite and tolerance. References = Risk and Information Systems Control Study Manual, 7th Edition, Chapter 4, Section 4.3.2.1, pp. 171-172.

 In an environment where reduced time-to-market for new software products is a top business priority, the risk practitioner’s greatest concern should be whether sufficient resources are assigned to IT development projects. Resources include human, financial, technical, and physical assets that are needed to plan, design, develop, test, and deliver high-quality software products in a timely manner. If the IT development projects are under-resourced, they may face challenges such as delays, errors, defects, rework, scope creep, or failure to meet customer expectations or requirements. These challenges can increase the risk of losing competitive advantage, market share, customer satisfaction, or reputation. The other options are less critical, as they are not directly related to the core business priority of reducing time-to-market for new softwareproducts. Customer support help desk staff training, email infrastructure rollback plans, and corporate email system phishing detection are important aspects of information security and customer service, but they are not the primary drivers of software product development anddelivery. References = Risk and Information Systems Control Study Manual, Chapter 3: IT Risk Response, Section 3.2: Risk Response Options, p. 115-116.

According to the CRISC Review Manual, the most important time to involve business stakeholders in the development of bottom-up IT risk scenarios is when validating the risk scenarios, as they can provide valuable input on the relevance, completeness, and accuracy of the scenarios and their impact on the business objectives and processes2

1: CRISC Review Questions, Answers & Explanations Database, Question ID: 100001 2: CRISC Review Manual, 7th Edition, page 97

 Anonymizing personal data in non-production environments means replacing the real data with fictitious but realistic data that does not allow identification of the individuals. This is a good way to mitigate the risk of sensitive personal data leakage from a software development environment, as it reduces the exposure of the data to unauthorized access or misuse. Tokenizing personal data only in test environments is not sufficient, as the data may still be exposed in other non-production environments, such as development or staging. Data loss prevention tools (DLP) installed in passive mode may detect and report data leakage incidents, but they do not prevent them from happening. Multi-factor authentication for access to non-production environments may enhance the security of the access, but it does not protect the data from being leaked by authorized users or compromised by other means. References = CRISC Review Manual (Digital Version), page 226; CRISC Review Questions, Answers & Explanations Database, question 195.