CRISC Exam Dumps - Certified in Risk and Information Systems Control

The person or entity who should be primarily responsible for performing user entitlement reviews is the data owner. A user entitlement review is a process that verifies and validates the access rights and privileges of the users to the data and resources in the IT environment. A user entitlement review helps to ensure that the users have the appropriate and necessary access to perform their roles and functions, and to prevent or detect any unauthorized or inappropriate access. A data owner is the person or entity that has the authority and responsibility to define, classify, and protect the data and resources in the IT environment. A data owner helps to perform user entitlement reviews, because they help to establish and enforce the access policies and standards for the data and resources, and to approve or revoke the access requests and changes for the users. A data owner also helps to monitor and report on the access performance and compliance for the data and resources, and to identify and address any issues or gaps in the access management activities. The other options are not the primary responsible party for performing user entitlement reviews, although they may be involved in the process. IT security manager, IT personnel, and data custodian are all examples of roles or functions that can help tosupport or implement the user entitlement reviews, but they do not necessarily have the authority or responsibility to define, classify, or protect the data and resources. References = Risk and Information Systems Control Study Manual, Chapter 5, Section 5.2.1, page 5-14.

An independent security audit report is a document that provides an objective and comprehensive assessment of the security posture and practices of a cloud service provider (CSP), based on a set of standards, criteria, or frameworks1. An independent security audit report can help an organization to evaluate the risks and benefits of using a CSP, and to ensure that the CSP meets the organization’s security and compliance requirements2.

If an organization receives an independent security audit report of its CSP that indicates significant control weaknesses, the next step that should be done in response to this report is to analyze the impact of the provider’s control weaknesses to the business. This means that the organization should:

Identify and prioritize the business processes, functions, or objectives that depend on or are affected by the CSP’s services

Assess the potential consequences and likelihood of the control weaknesses leading to security incidents, breaches, or losses

Estimate the financial, operational, reputational, or legal impacts of the security incidents, breaches, or losses

Compare the impacts with the organization’s risk appetite and tolerance, and determine the level of risk exposure and acceptance

Communicate the results of the analysis to the relevant stakeholders and decision-makers3

References = What is a Security Audit?, Cloud Security Audit: A 10-Step Checklist, Independent security audits are essential for cloud service providers. Here’s why

The best control to reduce the likelihood of a successful network attack through social engineering is security awareness training. Security awareness training is a program that educates and trains employees on the common types, techniques, and indicators of social engineering attacks, such as phishing, baiting, pretexting, and quid pro quo12. Security awareness training also teaches employees how to protect themselves and the organization from social engineering attacks, such as by verifying the identity and legitimacy of the sender or caller, avoiding clicking on suspicious links or attachments, reporting any suspicious or unusual activity, and following the organization’s security policies and procedures. Security awareness training can help to reduce the likelihood of a successful network attack through social engineering, because it can increase the employees’ knowledge, skills, and confidence in recognizing and responding to social engineering attempts, and it can also foster a culture of security and responsibility among the employees. The other options are not the best control, although they may be useful or complementary to security awareness training. Automated controls are technical or procedural controls that are performed by a system or a device without human intervention, such as firewalls, antivirus software, encryption, and backups. Automated controls can help to protect the network from external or internal threats, but they may not be effective against social engineering attacks, which rely on humaninteraction and manipulation.Multifactor authentication is a security mechanism that requires users to provide two or more pieces of evidence to verify their identity and access a system or a service, such as a password, a token, a fingerprint, or a facial recognition. Multifactor authentication can help to prevent unauthorized access to the network, but it may not prevent social engineering attacks, which may persuade users to share or compromise their authentication factors. Employee sanctions are disciplinary actions that are taken against employees who violate the organization’s security policies and procedures, such as warnings, fines, suspensions, or terminations. Employee sanctions can help to deter and punish employees who fall victim to or facilitate social engineering attacks, but they may not prevent or reduce the likelihood of social engineering attacks, and they may also create a negative or fearful work environment. References = Avoiding Social Engineering and Phishing Attacks | CISA, What is Social Engineering | Attack Techniques & Prevention Methods …, 10 Types of Social Engineering Attacks - CrowdStrike

The risk practitioner’s best course of action is to review the design of the machine learning model against the control objectives, because this will help to evaluate the suitability, effectiveness, and reliability of the model as a control measure. A machine learning model is a type of artificial intelligence that can learn from data and make predictions or decisions based on the data. A machine learning model can be used to automate or enhance the access management process, such as by identifying excessive access privileges, detecting unauthorized access, or recommending access rights. However, a machine learning model also introduces new risks and challenges, such as data quality, model accuracy, model bias, model explainability, model security, and model governance. Therefore, the risk practitioner should review the design of the machine learning model against the control objectives, which are the specific goals or outcomes that the control is intended to achieve. The control objectives can be derived from the IT riskmanagement strategy, the IT governance framework, the IT policies and standards, and the regulatory requirements. The review of the machine learning model should cover the following aspects: - The data sources and inputs: The risk practitioner should verify that the data used to train and test the machine learning model is relevant, complete, accurate, consistent, and representative of the access management process and the access rights. The risk practitioner should also check that the data is collected, stored, processed, and transmitted in a secure and compliant manner, and that the data privacy and confidentiality are protected. - The model algorithms and outputs: The risk practitioner should validate that the model algorithms are appropriate, robust, and transparent for the access management process and the control objectives. The risk practitioner should also evaluate that the model outputs are accurate, reliable, and interpretable, and that they provide meaningful and actionable insights orrecommendations for the access management process and the control objectives. - The model performance and monitoring: The riskpractitioner should measure and monitor the model performance and effectiveness against the control objectives and the predefined metrics and indicators. The risk practitioner should also ensure that the model is updated and maintained regularly to reflect the changes in the access management process and the access rights, and that the model is audited and reviewed periodically to ensure its compliance and quality. By reviewing the design of the machine learning model against the control objectives, the risk practitioner can ensure that the model is fit for purpose and adds value to the access management process and the control objectives. The risk practitioner can also identify and mitigate any potential risks or issues that may arise from the use of the machine learning model as a control measure. References = Risk and Information Systems Control Study Manual, Chapter 3: Risk Response and Mitigation, Section 3.3: Control Design and Implementation, pp. 124-1271, Manage roles in your workspace - Azure Machine Learning2, Dataset Inference: Ownership Resolution in Machine Learning3

The most important factor to include in the analysis of the policy exception is the risk associated with the inability to implement the multi-factor authentication requirement. A policy exception is a temporary orpermanent deviation from the established policies or standards of the organization, due to various reasons, such as budget constraints, technical limitations, or business needs. A policy exception must be submitted and approved by the appropriate authority, and it must include a clear and comprehensive analysis of the rationale, impact, and mitigation of the exception. The risk associated with the inability to implement the multi-factor authentication requirement is the most important factor to include in the analysis, because it evaluates the probability and severity of potential threats or incidents that could exploit the lack of multi-factor authentication, such as unauthorized access, data breach, or identity theft. The risk analysis also helps to justify the need and urgency of the policy exception, and to propose alternative or compensating controls to reduce or transfer the risk, such as password policies, access restrictions, or encryption. The other options are not the most important factor, although they may be relevant or supportive to the policy exception analysis. Sections of the policy that may justify not implementing the requirement are the clauses or provisions in the policy that allow or enable the policy exception, such as exemptions, waivers, or variances. These sections can help to validate the legitimacy and feasibility of the policy exception, but they do not assess the risk or the impact of the exception. Budget justification to implement the new requirement during the current year is the explanation and evidence of the financial resources and constraints that affect the implementation of the multi-factor authentication requirement. This justification can help to demonstrate the cost-benefit and return on investment of the requirement, but it does not measure the risk or the mitigation of the exception. Industry best practices with respect to implementation of the proposed control are the proven methods and standards that are adopted by the leading organizations in a specific field or sector for implementing the multi-factor authentication requirement. These best practices can help to benchmark and improve the quality and effectiveness of the requirement, but they do not quantify the risk or the impact of the exception. References = Policy Exception Management - ISACA, Multi-Factor Authentication Policy - University of Arkansas, Common Conditional Access policy: Require MFA for all users

An IT risk threat analysis is best used to establish risk scenarios. A risk scenario is a description of a possible event or situation that may affect the achievement of the IT objectives. A riskscenario consists of three elements: a threat, a vulnerability, and an impact. A threat is a potential cause of an unwanted incident. A vulnerability is a weakness or flaw that can be exploited by a threat. An impact is the consequence or effect of the incident on the IT objectives. An IT risk threat analysis is a technique that identifies and evaluates the threats that may pose a risk to the IT assets and processes. An IT risk threat analysis can help to establish risk scenarios by providing the information and context for the threat element of the risk scenario. The other options are not as directly related to an IT risk threat analysis, as they are related to the outcomes, measures, or responsibilities of the IT risk management process, not the inputs or sources of the IT risk scenarios. References = Risk and Information Systems Control Study Manual, Chapter 1: IT Risk Identification, Section 1.3: IT Risk Scenarios, page 23.

In addition to the risk register, which is a tool to document and monitor the risks that affect the organization, a risk practitioner should review the business objectives of the organization to develop an understanding of its risk profile. The risk profile is a description of the set of risks that the organization faces in relation to its goals and strategies. By reviewing the business objectives, the risk practitioner can identify the sources, drivers, and consequences of the risks, as well as the alignment, prioritization, and tolerance of the risks. The business objectives also provide the context and criteria for evaluating and managing the risks. The other options are not the best choices to review for developing an understandingof the organization’s risk profile, as they do not capture the full scope and nature of the risks. The control catalog is a list of the existing controls that are implemented to mitigate the risks, but it does not reflect the effectiveness, efficiency, or sufficiency of the controls. The asset profile is a description of the resources and capabilities that the organization possesses or relies on, but it does not indicate the value, vulnerability, or interdependency of the assets. The key risk indicators (KRIs) are metrics that measure the level and trend of the risks, but they do not explain the causes, impacts, orresponses to the risks. References = Risk and Information Systems Control Study Manual, 7th Edition, Chapter 2, Section 2.1.2, Page 49.

 A compensating control is a temporary or alternative control that is implemented when the primary control for mitigating a risk is not feasible or available. A compensating control should provide a similar level of protection and assurance as the primary control, and should be aligned with the risk appetite and tolerance of the organization. The risk practitioner’s best course of action when a compensating control needs to be applied is to obtain the risk owner’s approval. The risk owner is the person who has the authority and accountability for managing a specific risk, and who is responsible for ensuring that the risk is within the acceptable level. The risk practitioner should consult with the risk owner to explain the situation, proposethe compensating control, and seek their approval before implementing it. This way, the risk practitioner can ensure that the compensating control is appropriate, effective, and acceptable for the risk owner, and that the risk owner is aware of and agrees with the change in the risk treatment. The other options are not the best course of action, as they do not involve the risk owner’s approval or input. Recording the risk as accepted in the risk register implies that the risk is not treated or reduced, which may not be the case with a compensating control. Informing senior management may be a good practice, but it does not ensure that the risk owner is involved or agrees with the compensating control. Updating the risk response plan may be a necessary step after implementing the compensating control, but it does not require the risk owner’s approval or consultation. References = 5 Key Risk Mitigation Strategies (With Examples), Risk Management 101: Process, Examples, Strategies