CRISC Exam Dumps - Certified in Risk and Information Systems Control

The best course of action to determine the root cause of the high number of policy exceptions approved by senior management is to interview the control owner. The control owner is the person who has the authority and responsibility for designing, implementing, and monitoring the controls that enforce the policy. The control owner can provide insight into the reasons, circumstances, and impacts of the policy exceptions, and the effectiveness and efficiency of the controls. The control owner can also suggest possible improvements or alternatives to the policy or the controls. The other options are not as useful as interviewing the control owner, as they are related to the review, analysis, or testing of the policy or the controls, not the investigation or understanding of the policy exceptions. References = Risk and Information Systems Control Study Manual, Chapter 4: Risk and Control Monitoring and Reporting, Section 4.4: Key Control Indicators, page 211.

Compensating controls are additional or alternative controls that are implemented when the existing controls are found to be ineffective or do not meet the required standards. Compensating controls are designed to reduce the risk exposure to an acceptable level and ensure that the organization can still comply with the relevant regulations and industry best practices. For an organization that processes credit cards, compensating controls may include enhanced encryption, monitoring, auditing, or authentication mechanisms. By having compensating controls in place, the organization can maintain an effective overall control environment despitethe deficiencies in the existing controls. The other options are not correct because they do not ensure that the overall control environment is effective. A control mitigation plan is a document that outlines the actions and resources needed to address the control deficiencies, but it does not guarantee that the compensating controls will be implemented or effective. Risk management is a process that involves identifying, analyzing, evaluating, and treating risks, but it does not directly affect the control environment. Residual risk is the risk that remains after the risk treatment, and it may or may not be acceptable depending on the risk appetite of the organization. References = CRISC Review Manual, pages 153-1541; CRISC Review Questions, Answers & Explanations Manual, page 632

Brainstorming sessions would best contribute to identifying obscure risk scenarios, as they allow participants to generate and share ideas without being constrained by conventional thinking or assumptions. Brainstorming sessions can help to identify risks that are not obvious, not well understood, or not covered by existing controls. Control self-assessments, vulnerability analysis, and Monte Carlo analysis are useful methods for evaluating and quantifying risks, but they are not designed to identify obscure risk scenarios. References = Risk and Information Systems Control Study Manual, Chapter 2: IT Risk Identification, page 59.

The risk associated with an asset before controls are applied is also known as the inherent risk. It is the level of risk that exists in the absence of any mitigating actions or measures. To express the inherent risk, one needs to consider two factors: the likelihood and the impact of a potential threat. The likelihood is the probability or frequency of a threat occurring, while the impact is the magnitude or severity of the consequences if the threat materializes. The inherent risk can be calculated by multiplying the likelihood and the impact, or by using a risk matrix that assigns a risk rating based on the combination of these two factors. The other options are not correct ways of expressing the inherent risk, as they do not account for both the likelihood and the impact of a threat. The magnitude of an impact is only one component of the risk, and it does not reflect how likely the threat is to happen. The function of the cost and effectiveness of control is related to the residual risk, which is the risk that remains after controls are applied. The likelihood of a given threat is also only one component of the risk, and it does not indicate how severe the impact would be if the threat occurs. References = Risk and Information Systems Control Study Manual, 7th Edition, Chapter 2, Section 2.1.1, Page 47.

According to the CRISC Review Manual (Digital Version), establishing an organizational code of conduct is an example of a directive control, which is a type of control that guides or steers the behavior of individuals or processes to achieve desired outcomes. A directive control aims toinfluence or encourage compliance with the organization’s policies, standards, procedures, and guidelines. A directive control can also communicate the organization’s values, ethics, and expectations to its stakeholders. A directive control can take various forms, such as:

Codes of conduct or ethics

Policies or manuals

Training or awareness programs

Job descriptions or roles and responsibilities

Performance appraisals or incentives

Supervision or oversight

References = CRISC Review Manual (Digital Version), Chapter 2: IT Risk Assessment, Section 2.4: IT Risk Scenarios, pp. 105-1061

 According to the CRISC Review Manual, the greatest risk associated with the misclassification of data is unauthorized access, because it can result in the loss of confidentiality, integrity, and availability of the data. Data classification is the process of assigning categories to data based on its sensitivity and value to the organization. Data classification helps to determine the appropriate level of protection and handling for the data. If the data is misclassified, it may not receive the adequate level of security controls, and it may be accessed by unauthorized or inappropriate users. The other options are not the greatest risks associated with the misclassification of data, as they are less likely or less severe than unauthorized access. Inadequate resource allocation is the risk of not allocating sufficient resources to protect the data, which may affect its availability and performance. Data disruption is the risk of losing or corrupting the data, which may affect its integrity and availability. Inadequate retention schedules is the risk of not retaining the data forthe required period of time, which may affect its compliance and usability. References = CRISC Review Manual, 7th Edition, Chapter 4, Section 4.1.1, page 161.

Cyber risk insurance is a type of insurance policy that provides coverage against losses and damages caused by cyber incidents such as data breaches, hacking, and other cyber attacks. When an organization decides to purchase cyber risk insurance, it transfers the risk of financial loss due to a cyber incident to the insurance company. In the scenario described in the question, the organization allowed its cyber risk insurance to lapse while seeking a new insurance provider. This means that the organization is currently not covered by any cyber risk insurance policy and is therefore exposed to financial losses due to cyber incidents. The risk practitioner should report to management that the risk has been accepted. Accepting risk means that the organization is aware of the potential consequences of the risk and has decided not to take any action to mitigate, transfer, or avoid it. The other options are not correct because they do not reflect the current situation of the organization. The organization has not transferred the risk to another party, as it has no cyber risk insurance policy in place. The organization has not mitigated the risk, as it has not implemented anycontrols or measures to reduce the likelihood or impact of the risk. The organization has not avoided the risk, as it has not eliminated the source or cause of the risk or changed its activities to prevent the risk from occurring. References = CRISC Review Manual, pages 32-331; CRISC Review Questions, Answers & Explanations Manual, page 752

Assigning a data owner ensures accountability and responsibility for classifying and protecting data according to its sensitivity. This role is critical in implementing effectiveData Governance Practices.