Sure Pass Exam CRISC PDF

 A compensating control is a control that is implemented to reduce the risk exposure when the primary control is not feasible or cost-effective. A compensating control may not directly address the root cause of the risk, but it can provide an alternative or supplementary way of mitigating the risk. A residual risk is the risk that remains after the risk response has been implemented. A residual risk can be accepted, monitored, or further reduced depending on the risk tolerance and appetite of the organization. During a risk assessment, a risk practitioner is a person who is responsible for identifying and analyzing the potential sources and consequences of risk events. When a risk practitioner learns that an IT risk factor is adequately mitigated by compensating controls in an associated business process, the action that would enable the most effective management of the residual risk is to schedule periodic reviews of the compensating controls’ effectiveness, which means to measure and evaluate the performance and compliance of the compensating controls on a regular basis. By scheduling periodic reviews of the compensating controls’ effectiveness, the risk practitioner can ensure that the compensating controls are stilloperating as intended, and that they are delivering the expected results. The risk practitioner can also identify any gaps or weaknesses in the compensating controls, and recommend any improvements or adjustments as needed. References = CRISC Review Manual, 7th Edition, page 177.

Control processes are the procedures and activities that aim to ensure the effectiveness and efficiency of the organization’s operations, the reliability of its information, and the compliance with its policies and regulations12.

The ongoing efficiency of control processes is the degree to which the control processes achieve their intended results with minimum resources, costs, or waste34.

The best way to determine the ongoing efficiency of control processes is to analyze key performance indicators (KPIs), which are quantifiable measures of progress toward an intended result, such as a strategic objective or a desired outcome56.

Analyzing KPIs is the best way because it provides a systematic and consistent method of evaluating the performance of the control processes, and identifying the areas of improvement or optimization56.

Analyzing KPIs is also the best way because it enables the organization to monitor and report the efficiency of the control processes to the relevant stakeholders, and to take corrective or preventive actions when necessary56.

The other options are not the best way, but rather possible sources of information or inputs that may support or complement the analysis of KPIs. For example:

Performing annual risk assessments is a way to identify and evaluate the risks that may affect the organization’s objectives, and to determine the adequacy and effectiveness ofthe control processes in mitigating those risks12. However, this way is not the best because it is periodic rather than continuous, and may not capture the changes or trends in the efficiency of the control processes12.

Interviewing process owners is a way to collect and verify the information and feedback from the people who are responsible for designing, implementing, and operating the control processes12. However, this way is not the best because it is subjective and qualitative, and may not provide reliable or comparable data on the efficiency of the control processes12.

Reviewing the risk register is a way to examine and update the documentation and status of the risks and the control processes that are associated with them12. However, this way is not the best because it is descriptive rather than analytical, and may not measure or evaluate the efficiency of the control processes12. References =

1: Risk IT Framework, ISACA, 2009

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

3: The Control Process | Principles of Management4

4: Control Management: What it is + Why It’s Essential | Adobe Workfront5

5: What is a Key Performance Indicator (KPI)? Guide & Examples - Qlik1

6: What is a Key Performance Indicator (KPI)? - KPI.org2

According to the ISACA Risk IT Framework, one of the key principles for effective risk management is to establish tone at the top and accountability. This means that senior management should set an example of ethical behavior and culture, and communicate the importance of ethics and compliance to the entire organization. Senior management should also ensure that the risk management process is aligned with the organization’s mission, vision, values, and code of conduct, and that ethical risks are identified, assessed, and treated appropriately. By demonstrating ethics in their day-to-day decision making, senior management can have the greatest positive impact on ethical compliance within the risk management process, as they can influence the attitudes, behaviors, and actions of all stakeholders.

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 thetraffic 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]