Isaca Updated CRISC Exam Questions and Answers by diana

Obtaining input from business management is the best way to enable the development of a successful IT strategy focused on business risk mitigation, because it helps to align and integrate the IT objectives and activities with the business goals and priorities. An IT strategy is a plan that defines how IT supports and enables the organization’s vision, mission, and strategy. A business risk mitigation is a process that aims to reduce or eliminate the risks that may affect the achievement of the business objectives or expectations. Obtaining input from business management is the best way to ensure that the IT strategy is relevant, realistic, and responsive to the business needs and challenges, and that the IT risks are identified, assessed, and managed in accordance with the business risk appetite and tolerance. Providing risk awareness training for business units, understanding the business controls currently in place, and conducting a business impact analysis (BIA) are all useful ways to support the development of an IT strategy focused on business risk mitigation, but they are not the best way, as they do not directly involve the input and feedback from business management. References = Risk and Information Systems Control Study Manual, Chapter 2, Section 2.1.1, page 37

The factor that primarily influences an organization’s capability to implement a risk management framework is the maturity of its risk culture, as it reflects the degree of awareness, understanding, and commitment of the organization’s stakeholders towards the risk management objectives, values, and practices, and affects the adoption and integration of the risk management framework across the organization. The other options are not the primary factors, as they are more related to the guidance, competence, or approval of the risk management framework, respectively, rather than the influence of the risk management framework. References = CRISC Review Manual, 7th Edition, page 99.

 AI in Heuristic Security Systems:

Heuristic security systems use artificial intelligence (AI) to identify and respond to potential threats by learning from data patterns and behaviors.

 Risk of Misclassification:

During the baselining process, AI systems establish what is considered normal behavior. If malicious activity is present during this period, it may be incorrectly classified as normal.

This misclassification can lead to undetected security breaches, as the system will not recognize these activities as threats in the future.

 Impact of Misclassification:

Misclassified malicious activities can lead to significant security risks, allowing attackers to operate undetected within the system.

It undermines the effectiveness of the heuristic system, reducing its ability to protect the organization from real threats.

 Comparing Other Risks:

Less Reliance on Human Intervention:This is a general concern but does not directly impact the accuracy of threat detection.

Difficulty in Risk Assessments:While a challenge, it is not the greatest risk compared to misclassification of malicious activity.

Outdated Patterns:While a concern, the primary risk lies in initial misclassification during baselining.

 References:

The CRISC Review Manual discusses the challenges of AI in security systems, particularly the risk of misclassification during the learning phase (CRISC Review Manual, Chapter 4: Information Technology and Security, Section 4.7.4 Artificial Intelligence) .