Isaca CISM Based on Real Exam Environment

A key consideration in the use of quantitative risk analysis is that it assigns numeric values to exposures of information assets, such as the probability of occurrence, the frequency of occurrence, the impact of occurrence, and the monetary value of the assets. These numeric values help to measure and compare the risks in a more objective and consistent way, and to support the decision-making process based on cost-benefit analysis. Quantitative risk analysis also requires reliable and accurate data sources, and it may involve the use of statistical tools and techniques.

References = CISM Review Manual, 16th Edition eBook1, Chapter 2: Information Risk Management, Section: Risk Analysis, Subsection: Quantitative Risk Analysis, Page 84.

Requiring the provider to follow stringent data classification procedures is the BEST way to ensure data is not co-mingled or exposed when using a cloud service provider, because it helps to define the sensitivity and confidentiality levels of the data and the corresponding security controls and access policies that should be applied. Data classification procedures can help to prevent unauthorized access, disclosure, modification, or deletion of the data, as well as to segregate the data from other customers’ data.

References =

CISM Review Manual, 16th Edition, ISACA, 2020, p. 72: “Data classification is the process of assigning a level of sensitivity to data that reflects its importance and the impact of its disclosure, alteration, or destruction.”

CISM Review Manual, 16th Edition, ISACA, 2020, p. 73: “Data classification should be based on the business requirements for confidentiality, integrity, and availability of the data, and should consider the legal, regulatory, and contractual obligations of the enterprise.”

Best Practices to Manage Risks in the Cloud - ISACA: “Commingling of data: A big concern many enterprises have with public cloud services is the commingling of data with that of the cloud provider’s other customers. One of your first questions should be: “How do you ensure that my data is not commingled with others?” How does the cloud provider ensure that only your team has access to your data?”

The data owner is the most appropriate role to determine access rights for specific users of an application because they have legal rights and complete control over data elements4. They are also responsible for approving data glossaries and definitions, ensuring the accuracy of information, and supervising operations related to data quality5. The data custodian is responsible for the safe custody, transport, and storage of the data and implementation of business rules, but not for determining access rights4. The system administrator is responsible for managing the security and storage infrastructure of data sets according to the organization’s data governance policies, but not for determining access rights5. Senior management is responsible for setting the strategic direction and priorities for data governance, but not for determining access rights5. References: 5 ata-owners-vs-data-stewards-vs-data-custodians-the-3-types-of-data-masters-and-why-you-should-employ-them/ 4  -controller-and-data-custodian-processor/