CRISC Exam Dumps - Certified in Risk and Information Systems Control

The primary objective of promoting a risk-aware culture within an organization is enabling risk-based decision making, because this helps the organization to achieve its goals and objectives while managing its risks effectively and efficiently. A risk-aware culture is one where everyone understands the organization’s approach to risk, takes personal responsibility to manage risk in everything they do, and encourages others to follow their example. A risk-aware culture also fosters communication, collaboration, and learning about risk across the organization. By promoting a risk-aware culture, the organization can empower its employees to make informed and balanced decisions that consider both the potential benefits and the potential risks of their actions. This can enhance the organization’s performance, resilience, and competitiveness in a dynamic and uncertain environment. References = Risk IT Framework, ISACA, 2022, p. 17

The best way to justify the risk mitigation actions recommended in a risk assessment would be to focus on the business drivers, which are the factors that influence the organization’s objectives, performance, and value creation12.

Focusing on the business drivers means aligning the risk mitigation actions with the organization’s strategic goals, priorities, and values, and demonstrating how the actions will support or enhance the organization’s capabilities, opportunities, and competitive advantage12.

Focusing on the business drivers also means communicating the benefits, costs, and trade-offs of the risk mitigation actions to the relevant stakeholders, and showing how the actions will address the organization’s risk appetite, tolerance, and exposure12.

The other options are not the best way to justify the risk mitigation actions, but rather possible sources of information or guidance that may support the justification. For example:

Aligning with audit results is a way to validate the effectiveness and efficiency of the risk mitigation actions, and to identify any gaps or weaknesses that need improvement34. However, audit results may not reflect the organization’s current or future business drivers, and may not capture the full scope or impact of the risk mitigation actions34.

Benchmarking with competitor’s actions is a way to compare the organization’s risk mitigation actions with the best practices or standards of the industry or market, and to identify any areas of improvement or differentiation56. However, competitor’s actions may not be suitable or applicable for the organization’s specific context, needs, or challenges, and may not align with the organization’s business drivers56.

Referencing best practice is a way to adopt the proven or accepted methods or techniques for risk mitigation, and to ensure the quality and consistency of the risk mitigation actions78. However, best practice may not be the most optimal or innovative solution for the organization’s unique situation, and may not address the organization’s business drivers78. References =

1: Risk IT Framework, ISACA, 2009

2: IT Risk Management Framework, University of Toronto, 2017

3: IT Audit and Assurance Standards, ISACA, 2014

4: IT Audit and Assurance Guidelines, ISACA, 2014

5: Benchmarking IT Risk Management Practices, ISACA Journal, Volume 4, 2017

6: Benchmarking: A Tool for Improving IT Risk Management, ISACA Now Blog, March 27, 2017

7: IT Risk Management Best Practices, ISACA Journal, Volume 1, 2018

8: IT Risk Management Best Practices, ISACA Now Blog, January 9, 2018

Key performance indicators (KPIs) are metrics that reflect how well an organization is achieving its goals and objectives. KPIs should be specific, measurable, achievable, relevant, and time-bound. The most important characteristic of a KPI is its relevance, meaning that it should be aligned with the organization’s vision, mission, strategy, and values. A relevant KPI should also be meaningful and useful for the intended audience, such as the management, the staff, or the stakeholders. A relevant KPI should provide insight into the performance and progress of the organization, as well as enable decision making and improvement actions. A KPI that is not relevant may be misleading, inaccurate, or irrelevant, and may not reflect the true state of the organization or its goals. References = Risk and Information Systems Control Study Manual, Chapter 3, Section 3.3.2, p. 116-117

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 to influence 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

An intrusion detection system (IDS) is a network security tool that monitors network traffic and devices for known malicious activity, suspicious activity or security policy violations1. An IDS can generate alerts when it detects any potential threats, but not all alerts are accurate or relevant. There are two types of errors that can affect the performance and reliability of an IDS: false positives and false negatives2.

A false positive is when an IDS incorrectly flags a benign or normal activity as malicious or suspicious. For example, an IDS may alert on a legitimate network scan or a harmless software update. False positives can reduce the credibility and efficiency of an IDS, as they can overwhelm the security team with unnecessary alerts, distract them from the real threats, and cause them to ignore or disable the IDS3.

A false negative is when an IDS fails to flag a malicious or suspicious activity as such. For example, an IDS may miss a stealthy or novel attack that does not match any known signatures or patterns. False negatives can compromise the security and integrity of the network, as they can allow attackers to bypass the IDS and cause damage or steal data without being detected4.

The risk practitioner should recommend to analyze the alerts to minimize the false positives, because this is the best way to improve the accuracy and usefulness of the IDS. By analyzing the alerts, the risk practitioner can:

Identify the sources and causes of the false positives, such as misconfigured or outdated IDS rules, network anomalies, or legitimate traffic that resembles malicious traffic5.

Adjust or fine-tune the IDS settings, such as the alert threshold, the sensitivity level, the detection method, or the rule base, to reduce the number of false positives without increasing the risk of false negatives.

Validate or verify the alerts with other sources of information, such as logs, network traffic analysis, or threat intelligence, to confirm or dismiss the alerts as true or false positives.

Prioritize or classify the alerts based on their severity, impact, or likelihood, to focus on the most critical or relevant alerts and avoid alert fatigue.

The other options are not the best course of action, because:

Resetting the alert threshold based on peak traffic is not a reliable or effective way to minimize the false positives, as it may also increase the risk of false negatives. The alert threshold is the level of activity or deviation that triggers an alert from the IDS. If the threshold is set too high, the IDS may miss some malicious or suspicious activity that occurs below the threshold. If the threshold is set too low, the IDS may generate too many alerts for normal or benign activity that exceeds the threshold. The optimal threshold depends on various factors, such as the network size, topology, traffic volume, and baseline. Peak traffic is not a good indicator of the optimal threshold, as it may vary depending on the time, day, or season, and it may not reflect the normal or expected network behavior.

Analyzing the traffic to minimize the false negatives is not the main issue or goal in this scenario, as the problem is the high number of alerts, not the low number of alerts. Analyzing the traffic can help to identify the malicious or suspicious activity that the IDS may have missed, but it does not address the root cause of the false positives or improve the IDS performance. Moreover, analyzing the traffic can be time-consuming and resource-intensive, especially for large or complex networks, and it may require specialized tools or skills that the risk practitioner may not have.

Sniffing the traffic using a network analyzer is not a suitable or feasible option in this scenario, as it may violate the privacy or security policies of the network or the organization. Sniffing the traffic means capturing and inspecting the network packets that are transmitted or received by the devices on the network. A network analyzer is a tool that can perform this function and display the packet data in a readable format. However, sniffing the traffic can also expose sensitive or confidential information, such as passwords, usernames, or credit card numbers, that may be contained in the packets. Therefore, sniffing the traffic may require authorization or consent from the network owners or users, and it may be restricted or prohibited by law or regulation.

References =

What is an intrusion detection system (IDS)? - IBM

Intrusion detection system - Wikipedia

What Are Intrusion Detection Systems? - MUO

12 Best Intrusion Detection System (IDS) Software 2024 - Comparitech

What is an Intrusion Detection System (IDS)? - Fortinet

[False Positive and False Negative in Intrusion Detection System]

[False Positives and False Negatives in Intrusion Detection Systems]

[How to Reduce False Positives for Your IDS/IPS]

[How to Set the Right Alert Thresholds for Your IDS/IPS]

[Network Traffic Analysis: What It Is and How It Works]

[What is a Network Analyzer? - Definition from Techopedia]

Information systems control deficiencies are the weaknesses or flaws in the design or implementation of the controls that are intended to ensure the confidentiality, integrity, availability, and reliability of the information systems and resources. Information systems control deficiencies may reduce the effectiveness or efficiency of the controls, and expose the organization to various risks, such as unauthorized access, data loss, system failure, etc.

Reviewing results from control self-assessment (CSA) is the best way to identify information systems control deficiencies, because CSA is a process of evaluating and verifying the adequacy and effectiveness of the information systems controls, using the input and feedback from the individuals or groups that are involved or responsible for the information systems activities or functions. CSA can help the organization to identify and document the information systems control deficiencies, and to align them with the organization’s information systems objectives and requirements.

CSA can be performed using various techniques, such as questionnaires, surveys, interviews, workshops, etc. CSA can also be integrated with the organization’s governance, risk management, and compliance functions, and aligned with the organization’s policies and standards.

The other options are not the best ways to identify information systems control deficiencies, because they do not provide the same level of detail and insight that CSA provides, and they may not be relevant or actionable for the organization.

Vulnerability and threat analysis is a process of identifying and evaluating the weaknesses or flaws in the organization’s assets, processes, or systems that can be exploited or compromised by the potential threats or sources of harm that may affect the organization’s objectives or operations. Vulnerability and threat analysis can help the organization to assess and prioritize the risks, and to design and implement appropriate controls or countermeasures to mitigate or prevent the risks, but it is not the best way to identify information systems control deficiencies, because it does not indicate whether the existing information systems controls are adequate and effective, and whether they comply with the organization’s policies and standards.

Control remediation planning is a process of selecting and implementing the actions or plans to address or correct the information systems control deficiencies that have been identified, analyzed, and evaluated. Control remediation planning involves choosing one ofthe following types of control responses: mitigate, transfer, avoid, or accept. Control remediation planning can help the organization to improve and optimize the information systems controls, and to reduce or eliminate the information systems control deficiencies, but it is not the best way to identify information systems control deficiencies, because it is a subsequent or follow-up process that depends on the prior identification of the information systems control deficiencies.

User acceptance testing (UAT) is a process of verifying and validating the functionality and usability of the information systems and resources, using the input and feedback from the end users or customers that interact with the information systems and resources. UAT can help the organization to ensure that the information systems and resources meet the user or customer expectations and requirements, and to identify and resolve any issues or defects that may affect the user or customer satisfaction, but it is not the best way to identify information systems control deficiencies, because it does not focus on the information systems controls, and it may not cover all the relevant or significant information systems control deficiencies that may exist or arise. References =

ISACA, CRISC Review Manual, 7th Edition, 2022, pp. 40-41, 47-48, 54-55, 58-59, 62-63

ISACA, CRISC Review Questions, Answers & Explanations Database, 2022, QID 186

CRISC Practice Quiz and Exam Prep

Key risk indicators (KRIs) are metrics that provide information on the level of exposure to a given risk. They enable ongoing monitoring of emerging risk by alerting the organization when the risk level exceeds thepredefined threshold or tolerance. By using KRIs, the organization can track the changes in the risk environment and take timely and appropriate actions to mitigate or avoid the risk.

Helping an organization identify emerging threats, benchmarking the organization’s risk profile, and identifying trends in the organization’s vulnerabilities are all possible uses of KRIs, but they are not the primary benefit. The primary benefit is to enable ongoing monitoring of emerging risk, which encompasses all these aspects and more. References = CRISC Review Manual, 7th Edition, ISACA, 2020, page 27-281

Residual risk is the risk that remains after applying controls to mitigate the inherent risk. Inherent risk is the risk that exists before considering the controls. Key risk indicators (KRIs) are metrics that measure the level and impact of risks. Risk appetite is the amount and type of risk that an organization is willing to accept in pursuit of its objectives. The failure of the data loss prevention (DLP) system to detect outgoing emails containing credit card data would most impact the residual risk, because it would increase the likelihood and impact of data leakage, data loss, and data exfiltration incidents. These incidents could cause financial, reputational, legal, and regulatory damages to the organization. The failure of the DLP system would also affect the KRIs, as they would show a higher level of risk exposure and a lower level of control effectiveness. However, the KRIs are not the risk itself, but rather the indicators of the risk. The failure of the DLP system would not directly impact the inherent risk or the risk appetite, as they are independent of the controls. The inherent risk would remain the same, as it is based on the nature and value of the data and the threats and vulnerabilities that exist. The risk appetite would also remain the same, as it is based on the organization’s culture, strategy, and stakeholder expectations. Therefore, the most impacted factor would be the residual risk, as it reflects the actual risk level that the organization faces after applying the controls. References = Risk IT Framework, ISACA, 2022, p. 131