CRISC Exam Dumps - Certified in Risk and Information Systems Control

Regular employee security awareness training is the most effective method to reduce unintentional disclosure of sensitive information. Training educates employees on risks, policies, and best practices, thus changing behavior and reducing human error. Classification policies provide guidelines, and technical controls like IDS and anti-malware detect or prevent some risks but do not address the human factor as directly as awareness training【5:517, 5:527†CRISC_SentenceinNOTE30.pptx】.

A risk register is a tool that records and tracks the identified risks, their causes, impacts, likelihood, responses, and owners. The greatest concern when maintaining a risk register is that significant changes in risk factors are excluded. Risk factors are the internal and external variables that influence the occurrence and impact of risks. Risk factors can change over time due to changes in the business environment, the IT landscape, the threat landscape, or the regulatory requirements. If the risk register does not reflect the significant changes in risk factors, it may not provide an accurate and current view of the enterprise’s risk profile and may not support effective risk management decisions and actions. The other options are not as concerning as the exclusion of significant changes in risk factors, as they involve different aspects of the risk register:

Impacts are recorded in qualitative terms means that the risk register uses descriptive scales, such as low, medium, and high, to measure the potential consequences of the risks. This may not be asprecise or consistent as quantitative measures, such as monetary values or percentages, but it does not necessarily affect the validity or usefulness of the risk register.

Executive management does not perform periodic reviews means that the risk register is not regularly evaluated and updated by the senior leaders of the enterprise. This may indicate a lack of management commitment or oversight for risk management, but it does not directly affect the quality or completeness of the risk register.

IT risk is not linked with IT assets means that the risk register does not associate the identified risks with the specific IT resources, such as hardware, software, data, or services, that are affected by or contribute to the risks. This may limit the visibility and traceability of the risks, but it does not necessarily affect the identification or assessment of the risks. References = Risk and Information Systems Control Study Manual, 7th Edition, Chapter 1, Section 1.2.2.2, pp. 21-22.

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]

The best time to conduct a risk analysis in a software development project is at each stage of the development life cycle. This is because risks can emerge or change at any point of the project, and they need to be identified, assessed, and managed as soon as possible. By conducting a risk analysis at each stage, the project team can ensure that the risks are aligned with the project objectives, scope, and deliverables, and that the appropriate risk responses are implemented and monitored. Conducting a risk analysis at each stage can also help to avoid or reduce the impact of potential issues, such as schedule delays, cost overruns, quality defects, and customer dissatisfaction. The other options are not the best time to conduct a risk analysis, although they may be useful or necessary depending on the project context and nature. Conducting a risk analysis during the business requirement definitions phase is important, but it is not sufficient, as the risks may change or evolve as the project progresses. Conducting a risk analysis before periodic steering committee meetings is a good practice, but it is not the only time to do so, as the risks may arise or escalate between the meetings. Conducting a risk analysis during the business case development is a part of the project initiation process, but it is not the most effective time, as the risks may not be fully known or understood at that stage. References = Risk and Information Systems Control Study Manual, 7th Edition, Chapter 2: Risk Identification, Section 2.1: Risk Identification Process, p. 79-80.

The best metric to demonstrate that servers are configured securely is the total number of servers meeting the baseline for hardening. Hardening is the process of applying security configurations and settings to servers to reduce their attack surface and vulnerability. A baseline is a standard or benchmark that defines the minimum level of security required for servers. By measuring the number of servers that meet the baseline, the organization can assess the effectiveness of its hardening efforts and identify any gaps or deviations. The other metrics, such as exceeding availability thresholds, experiencing hardware failures, or exceeding current patching standards, are not directly related to the security configuration of servers, but rather to their performance, reliability, or maintenance. References = Risk and Information Systems Control Study Manual, Chapter 2, Section 2.3.2, page 2-25.

According to the CRISC Review Manual, the most important reason for implementing change control procedures is to ensure that only approved changes are implemented, because it helps to prevent or minimize the risk of unauthorized or unintended changes that may affect the stability, security, or performance of the IT systems and processes. Change control procedures are the steps and activities that are followed to manage the initiation, review, approval, implementation, and verification of changes. Change control procedures also help to ensure that the changes are aligned with the business requirements and objectives, and that the changes are documented and communicated to the stakeholders. The other options are not the most important reason for implementing change control procedures, as they are related to other benefits or outcomes of the change control process. Timely evaluation of change events is the reason for implementing change management, which is the process of identifying, analyzing, and responding to the changes that may affect the IT systems and processes. An audit trail is the outcome of implementing change control procedures, as it provides a record of the changes and their impacts. Logging emergency changes is the exception of implementing change control procedures, as it allows for bypassing the normal approval process in case of urgent or critical changes. References = CRISC Review Manual, 7th Edition, Chapter 4, Section 4.2.1, page 177.

Risk scenarios are descriptions of possible events or situations that could cause or affect a risk. Risk scenarios can help a risk practitioner to enhance understanding of risk among stakeholders, as they can illustrate the causes, consequences, and impacts of the risk in a clear and realistic way. Risk scenarios can also facilitate communication and collaboration among stakeholders, as they can provide a common language and framework for risk identification, analysis, and response. Risk scenarios can also support decision-making and prioritization, as they can show the likelihood and severity of the risk outcomes. References = Most Asked CRISC Exam Questions and Answers. CRISC: Certified in Risk & Information Systems Control Sample Questions, Question 237.