CRISC Exam Dumps - Certified in Risk and Information Systems Control

Shadow systems are IT systems, solutions, devices, or technologies used within an organization without the knowledge and approval of the corporate IT department1. They are often the result ofemployees trying to address specific functionality gaps in the organization’s official systems, such as the ERP system. However, shadow systems can pose significant risks to the organization, such as:

Data security and privacy breaches, as shadow systems may not comply with the organization’s security policies and standards, or may expose sensitive data to unauthorized parties2.

Data quality and integrity issues, as shadow systems may not synchronize or integrate with the organization’s official systems, or may create data inconsistencies or redundancies3.

Compliance and regulatory violations, as shadow systems may not adhere to the organization’s legal or contractual obligations, or may create audit or reporting challenges4.

Cost and resource inefficiencies, as shadow systems may duplicate or conflict with the organization’s official systems, or may consume more IT resources than necessary5.

The best way to reduce the risk associated with shadow systems is to implement an enterprise architecture (EA), which is a comprehensive framework that defines the structure, processes, principles, and standards of the organization’s IT environment6. By implementing an EA, the organization can:

Align the IT systems with the organization’s goals and strategy, and ensure that they support the business needs and requirements6.

Establish a governance structure and process for IT decision making, and ensure that all IT systems are approved, monitored, and controlled by the IT department7.

Enhance the communication and collaboration between the IT department and the business units, and ensure that the IT systems meet the expectations and preferences of the end users5.

Optimize the performance and efficiency of the IT systems, and ensure that they are scalable, flexible, and interoperable6.

References =

Shadow IT: What Are the Risks and How Can You Mitigate Them? - Ekran System

How to Reduce Risks of Shadow IT by Applying Governance to Public Clouds – BMC Software | Blogs

What is shadow IT? - Article | SailPoint

The Risks of Shadow IT and How to Avoid Them | SiteSpect

Start reducing your organization’s Shadow IT risk in 3 steps

What is enterprise architecture (EA)? - Definition from WhatIs.com

Enterprise Architecture Governance - CIO Wiki

An IT risk register is a document that records and tracks the IT risks that have been identified and assessed by the risk practitioner. It contains information such as the risk description, the risk owner, the risk level, the risk response, the risk status, and the risk monitoring and reporting activities. An IT risk register is a dynamic document that needs to be updated regularly to reflect the changes in the IT environment and the risk landscape. When a software upgrade renders an existing key control ineffective, the risk practitioner should update the IT risk register to indicate the new risk level, the new risk response, and the new risk monitoring and reporting activities. This will ensure that the IT risk register remains accurate, relevant, and useful for IT risk management. Updating the IT risk register is more important than updating the audit engagement letter, the risk profile, or the change control documentation, because the IT risk register is the primary source of information and guidance for managing IT risks. The audit engagement letter is a formal agreement between the auditor and the auditee that defines the scope, objectives, and terms of the audit. The risk profile is a summary of the organization’s risk appetite, risk tolerance, and risk exposure. The change control documentation is a record of the changes that have been made to the IT systems and processes. These documents are important for IT risk management, but they are not as critical as the IT risk register for updating when a key controlbecomes ineffective. References = Risk and Information Systems Control Study Manual, Chapter 2: IT Risk Assessment, Section 2.4: Risk Register, pp. 69-711

Comprehensive and Detailed Explanation From Exact Extract:

Risk scenarios must be regularly reviewed and updated to remain relevant, especially given changing threat landscapes and business processes. A set of scenarios developed five years ago without update is likely outdated and may fail to capture current risks effectively. Ongoing remediation and external involvement are not inherently concerns if properly managed. The number of scenarios depends on scope and is less critical than currency and relevance【5:7, 5:256, 5:168†CRISC_SentenceinNOTE30.pptx】.

Review Assignments of Data Ownership for Key Assets:

Data Ownership: Ensuring that data ownership is clearly assigned helps establish accountability for data protection. Data owners are responsible for the classification, management, and protection of data.

Baseline Understanding: Reviewing data ownership assignments provides a baseline understanding of who is responsible for sensitive data and ensures that the responsibilities are clearly defined and understood.

Compliance and Control: Proper data ownership ensures that controls are in place and that there is compliance with data protection policies and regulations.

Comparison with Other Options:

Identify Staff Who Have Access to Sensitive Data: This is important but should follow the establishment of clear data ownership to ensure that access controls are appropriately applied.

Identify Recent and Historical Incidents Involving Data Loss: Reviewing incidents helps understand past issues but does not address current data ownership and accountability.

Review the Organization's Data Inventory: While important, a data inventory review is part of understanding data ownership and control but should not be the first step.

Best Practices:

Clear Documentation: Ensure that data ownership is clearly documented and communicated across the organization.

Regular Reviews: Conduct regular reviews of data ownership assignments to ensure they remain accurate and up-to-date.

Training and Awareness: Provide training to data owners on their roles and responsibilities regarding data protection and risk management.

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.

Residual risk exceeds acceptable limits, because it indicates that the risk level is higher than the organization’s risk appetite or tolerance, and that the risk responses and controls are insufficient or ineffective. Residual risk is the level of risk remaining in a process or procedure following the implementation of risk controls to limit or remove it. Escalation is a process that increases theawareness and involvement of higher-level stakeholders or authorities in a risk issue or situation. Escalation is appropriate when the risk issue or situation is outside the scope or authority of the current risk owner or manager, and requires the attention or action of the senior management or the board of directors. Residual risk exceeding acceptable limits is the best situation to justify escalation, as it implies that the current risk owner or manager cannot manage the risk within the predefined boundaries or expectations, and that the senior management or the board of directors need to intervene or approve the risk acceptance or transfer.

Residual risk being inadequately recorded, residual risk remaining after controls have been applied, and residual risk equaling current risk are all possible situations that may require escalation, but they are not the best situations, as they do not necessarily indicate that the risk level is higher than the acceptable limits, and that the senior management or the board of directors need to be involved.

 Developing and communicating fraud prevention policies is the most effective way to reduce potential losses due to ongoing expense fraud because it creates a culture of integrity and accountability, sets clear expectations and consequences for employees, and deters fraudulent behavior. Implementing user access controls, performing regular internal audits, and conducting fraud prevention awareness training are also important controls, but they are more reactive and detective than preventive. References = Risk and Information Systems Control Study Manual, Chapter 4, Section 4.3.2, page 4-26.

 The results of risk analyses should be presented in quantitative or qualitative terms based primarily on the requirements of management, because they are the intended audience and users of the risk information, and they have the authority and responsibility to make risk-based decisions. The requirements of management may vary depending on the purpose, scope, and context of the risk analysis, and the level of detail, accuracy, and reliability that they need. Quantitative risk analysis uses numerical data and mathematical models to estimate theprobability and impact of risks, and to express the risk exposure and value in monetary or other measurable units. Qualitative risk analysis uses descriptive data and subjective judgmentsto assess the likelihood and severity of risks, and to rank the risks according to their relative importance or priority. Both methods have their advantages and disadvantages, and they can be used separately or together, depending on the situation and the availability of data and resources. However, the primary factor that determines the choice of the method is the requirements of management, as they are the ones who will use the risk information to support their objectives, strategies, and actions. References = Risk IT Framework, ISACA, 2022, p. 141