CRISC Exam Dumps - Certified in Risk and Information Systems Control

 The key performance indicator (KPI) that best measures the effectiveness of an organization’s disaster recovery program is the percentage of critical systems recovered within the recovery time objective (RTO). The RTO is the acceptable timeframe within which a business process or system must be restored after a disruption. The percentage of critical systems recovered within the RTO indicates how well the disaster recovery program can meet the business continuity requirements and minimize the impact of the disruption. The other options are not as good as the percentage of critical systems recovered within the RTO, as they are related to the efficiency, quality, or scope of the disaster recovery program, not the effectiveness of the disaster recovery program. References = Risk and Information Systems Control StudyManual, Chapter 4: Risk and Control Monitoring and Reporting, Section 4.2: Key Performance Indicators, page 183.

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

Key Risk Indicators (KRIs) are metrics used by organizations to provide early warning signs of potential risks, including unauthorized data disclosure. By monitoring KRIs, organizations can proactively identify vulnerabilities and take corrective actions before a risk materializes. This proactive approach is essential in minimizing the potential impact of data breaches.​

According to ISACA's CRISC Review Manual, KRIs are defined as "metrics capable of showing that the enterprise is, or has a high probability of being, subject to a risk that exceeds the defined risk appetite." They are critical to the measurement and monitoring of risk and performance optimization. ​ISACA

While data backups (Option B) are vital for data recovery post-incident, they do not prevent unauthorized disclosures. An incident response plan (Option C) is reactive, focusing on responding after an incident has occurred. Cyber insurance (Option D) provides financial compensation post-incident but does not prevent the occurrence of data breaches.​

Therefore, implementing and monitoring KRIs is the most proactive approach to minimizing the potential impact of unauthorized data disclosure.

It is most important that security controls for a new system be documented in the system requirements. The system requirements define the functional and non-functional specifications of the system, including the security controls that are needed to protect the system and its data. Documenting the security controls in the system requirements can help ensure that they are designed, developed, tested, and implemented as part of the system development life cycle. Testing requirements, the implementation plan, and the security policy are other documents that may include security controls, but they are not as important as the system requirements. References = ISACA Certified in Risk and Information Systems Control (CRISC) Certification Exam Question and Answers, question 5; CRISC Review Manual, 6th Edition, page 212.

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.

 A control is an action or measure that reduces the likelihood or impact of a risk to an acceptable level. Controls can be classified into different types based on their purpose or function, such asdetective, compensating, corrective, or preventive. Performing a background check on a new employee candidate before hiring is an example of a preventive control. A preventive control is a control that aims to prevent the occurrence or manifestation of a risk, such as by avoiding, removing, or reducing the risk sources, causes, or drivers. A background check is a process that verifies the identity, qualifications, and history of a potential employee, and helps to ensure that the employee is suitable and trustworthy for the job. A background check can prevent the risk of hiring an unqualified, fraudulent, or malicious employee, who could compromise the performance, security, or compliance of the enterprise. The other options are not examples of preventive controls, as they involve different types of controls:

A detective control is a control that aims to detect the occurrence or manifestation of a risk, such as by monitoring, measuring, or reporting the risk events, indicators, or outcomes. An example of a detective control is a log review, which is a process that analyzes the records of the activities or transactions on the IT systems or applications, and helps to identify any anomalies, errors, or violations that could indicate a risk.

A compensating control is a control that aims to compensate for the weakness or deficiency of another control, such as by providing an alternative or additional level of protection or assurance. An example of a compensating control is a firewall, which is a device or software that filters the network traffic and blocks the unauthorized or malicious access to the IT systems or applications, and helps to compensate for the lack or failure of other security controls, such as encryption, authentication, or authorization.

A corrective control is a control that aims to correct the occurrence or manifestation of a risk, such as by restoring, repairing, or improving the affected assets, processes, or functions. An example of a corrective control is a backup, which is a copy or replica of the data or informationon the IT systems or applications, and helps to correct the loss or damage of the data or information due to a risk, such as a hardware failure, a software error, or a cyberattack. References = Risk and Information Systems Control Study Manual, 7th Edition, Chapter 2, Section 2.3.3.1, pp. 62-63.

A data loss prevention (DLP) control is a technology that tries to detect and stop sensitive data breaches, or data leakage incidents, in an organization. A DLP control is used to prevent sensitive data, such as credit card numbers, from being disclosed to an unauthorized person, whether it is deliberate or accidental1. The best way to help ensure the effectiveness of a DLP control that has been implemented to prevent the loss of credit card data is to test the transmission of credit card numbers. This is a technique to verify that the DLP control can successfully identify and block the credit card data when it is sent or received through various channels, such as email, messaging, or file transfers. Testing the transmission of credit card numbers can help to evaluate the accuracy and reliability of the DLP control, as well as to identify and correct any false positives or false negatives. The other options are not the best ways to help ensure the effectiveness of a DLP control that has been implemented to prevent the loss of credit card data, although they may be helpful and complementary. Reviewing logs forunauthorized data transfers is a technique to monitor and analyze the DLP control activities and incidents, such as who, what, when, where, and how the data was transferred. However, reviewing logs is a reactive and passive approach, while testing the transmission is a proactive and active approach. Configuring the DLP control to block credit card numbers is a technique to set up the DLP control rules and policies, such as defining the data patterns, the detection methods, and the response actions. However, configuring the DLP control is a prerequisite and a preparation step, while testing the transmission is a validation and a verification step. Testing the DLP rule change control process is a technique to ensure that the DLP control rules and policies are updated and maintained in a controlled and coordinated manner, such as obtaining approval, documenting the changes, testing the changes, and communicating the changes. However, testing the DLP rule change control process is a quality and governance step, while testing the transmission is a performance and functionality step. References = What is Data Loss Prevention (DLP)? | Digital Guardian1; CRISC Review Manual, pages 164-1652; CRISC Review Questions, Answers & Explanations Manual, page 833

The first step to ensure continuity of operations when performing a risk assessment of a new service to support a new business process is to identify the conditions that may cause disruptions to the service or the process. This is because identifying the potential sources, causes, and scenarios of disruptions helps to determine the impact and likelihood of the risks, and to select the appropriate risk responses and recovery strategies. The other options are not the first steps, although they may also be part of the risk assessment process. Reviewing incident response procedures, evaluating the probability of risk events, and defining metrics for restoring availability are examples of subsequent steps that depend on the identification of the conditions that may cause disruptions. References = CRISC: Certified in Risk & Information Systems Control Sample Questions