CRISC Exam Dumps - Certified in Risk and Information Systems Control

The greatest concern associated with the transmission of healthcare data across the internet is unencrypted data, as this exposes the data to unauthorized access, interception, modification, or disclosure, which may compromise the confidentiality, integrity, and availability of the data. Healthcare data is sensitive and personal information that may include medical records, diagnoses, treatments, prescriptions, insurance claims, and biometric data. Healthcare data is subject to various legal and regulatory requirements, such as the Health Insurance Portability and Accountability Act (HIPAA) in the United States, that mandate the protection and privacy of the data. Encryption is a method of transforming the data into an unreadable format that can only be accessed or restored by authorized parties who have the decryption key. Encryption helps to prevent or reduce the risk of data breaches, identity theft, fraud, or other malicious attacks. The other options are not the greatest concerns associated with the transmission of healthcare dataacross the internet, although they may pose some challenges or issues. Lack of redundant circuits is a concern for the reliability and continuity of the data transmission, but it does notaffect the security or privacy of the data. Low bandwidth connections is a concern for the speed andefficiency of the data transmission, but it does not affect the security or privacy of the data. Data integrity is a concern for the accuracy and completeness of the data, but it does not necessarily depend on the encryption of the data. References = Risk and Information Systems Control Study Manual, Chapter 4: Risk Response, page 156.

The best recommendation to reduce the risk associated with potential system compromise when a vendor stops releasing security patches and updates for a business-critical legacy system is to segment the system on its own network. Network segmentation is the process of dividing a network into smaller subnetworks or segments, based on different criteria, such as function, location, or security level. Network segmentation helps to isolate the system from the rest of the network, and limit the exposure and access to the system. Network segmentation also helps to improve the performance and security of the network, by reducing the network traffic and congestion, and enhancing the monitoring and control capabilities. The other options are not as effective as segmenting the system on its own network, although they may provide some additional protection or recovery options. Ensuring regular backups take place, virtualizing the system in the cloud, and installing antivirus software on the system are all measures that can helpto reduce the risk of data loss or system damage, but they do not address the root cause of the risk, which is the lack of security patches and updates for the system. References = Risk and Information Systems Control Study Manual, Chapter 3, Section 3.2.1, page 3-11.

Biased recommendations from AI models pose significant risks to decision-making and organizational ethics. Such biases can propagate systemic issues and impact regulatory compliance, emphasizing the need for robust controls in AI development and deployment underEmerging Technology Risks.

Risk likelihood is most likely to be reassessed as a result of implementing a machine learning-based solution to monitor IT usage and analyze user behavior in an effort to detect internal fraud, as it may change the probability of fraud occurrence or detection, and affect the risk assessment and response. Risk culture, risk appetite, and risk capacity are not the most likely to be reassessed, as they are more stable and strategic aspects of risk management, and are not directlyinfluenced by the implementation of a specific solution. References = CRISC Review Manual, 7th Edition, page 108.

Presenting the impact of IT risks on organizational processes in monetary terms is effective for obtaining management buy-in because it directly relates to the organization's financial health and decision-making. It provides a clear and tangible understanding of the potential financialimplications of risks, making it easier for management to appreciate the need for additional controls.

Managing cyber risk according to the organization’s risk management framework is the best recommendation to help ensure cyber risk is assessed and reflected in the enterprise-level risk profile, as it helps to integrate and align the cybersecurity risk management (CSRM) and the enterprise risk management (ERM) processes. A risk management framework is a set of principles, policies, and practices that guide and support the risk management activities within an organization. A risk management framework helps to establish a consistent, comprehensive, and coordinated approach to risk management across the organization and to the external stakeholders.

Managing cyber risk according to the organization’s risk management framework helps to ensure cyber risk is assessed and reflected in the enterprise-level risk profile by providing the following benefits:

It enables a holistic and comprehensive view of the cyber risk landscape and its interdependencies with the business processes and functions.

It facilitates the communication and collaboration among the business and IT stakeholders and enhances their understanding and awareness of the cyber risk exposure and control environment.

It supports the development and implementation of effective and efficient cyber risk response and mitigation strategies and actions that are aligned with the business risk appetite and objectives.

It provides feedback and learning opportunities for the cyber risk management and control processes and helps to foster a culture of continuous improvement and innovation.

The other options are not the best recommendations to help ensure cyber risk is assessed and reflected in the enterprise-level risk profile. Defining cyber roles and responsibilities across the organization is a good practice to clarify and assign the duties and accountabilities for the cyber risk management and control processes, but it does not directly address the cyber risk assessment and integration with the enterprise-level risk profile. Conducting cyber risk awareness training tailored specifically for senior management is a useful method to educate and engage the senior management in the cyber risk management and control processes, but it does not provide asystematic or consistent way to assess and reflect the cyber risk in the enterprise-level risk profile. Implementing a cyber risk program based on industry best practices is a possible action to improve and enhance the cyber risk management and control processes, but it does not ensure the alignment or integration with the organization’s risk management framework or the enterprise-level risk profile. References = Integrating Cybersecurity and Enterprise Risk Management (ERM) - NIST, IT Risk Resources | ISACA, Identifying and Estimating Cybersecurity Risk for Enterprise Risk …

The primary risk management responsibility of the first line of defense is to implement risk treatment plans. The first line of defense is the operational management and staff who are directly involved in the execution of the business activities and processes. They are responsible for identifying, assessing, and responding to the risks that affect their objectives and performance. Implementing risk treatment plans means applying the appropriate risk response strategies and actions to address the identified risks, and monitoring and reporting the results and outcomes of the risk treatment. The other options are not as primary as implementing risk treatment plans, as they are related to the validation, establishment, or review of the risk management process, not the execution of the risk management process. References = Risk andInformation Systems Control Study Manual, Chapter 1: IT Risk Identification, Section 1.1: IT Risk Management Process, page 15.