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CRISC · Question #240

An organization recently implemented a machine learning-based solution to monitor IT usage and analyze user behavior in an effort to detect internal fraud. Which of the following is MOST likely to…

The correct answer is A. Risk likelihood. Implementing a new machine learning-based solution to detect internal fraud directly affects the probability of fraud occurring or going undetected, thus most likely requiring a reassessment of risk likelihood.

Submitted by lars.no· Apr 18, 2026IT Risk Assessment

Question

An organization recently implemented a machine learning-based solution to monitor IT usage and analyze user behavior in an effort to detect internal fraud. Which of the following is MOST likely to be reassessed as a result of this initiative?

Options

  • ARisk likelihood
  • BRisk culture
  • CRisk appetite
  • DRisk capacity

How the community answered

(34 responses)
  • A
    79% (27)
  • B
    6% (2)
  • C
    3% (1)
  • D
    12% (4)

Why each option

Implementing a new machine learning-based solution to detect internal fraud directly affects the probability of fraud occurring or going undetected, thus most likely requiring a reassessment of risk likelihood.

ARisk likelihoodCorrect

A machine learning-based solution designed to detect internal fraud directly improves the organization's ability to identify and prevent such incidents. This enhancement significantly reduces the probability or frequency of a fraud event occurring or going unnoticed, thereby necessitating a reassessment of the likelihood component of fraud-related risks.

BRisk culture

Risk culture refers to the shared values and attitudes towards risk, which isn't directly changed by the implementation of a technical detection solution.

CRisk appetite

Risk appetite is the level of risk an organization is willing to take, a strategic decision that is not immediately altered by a control implementation.

DRisk capacity

Risk capacity is the maximum risk an organization can absorb, which is also a strategic and financial consideration, not directly affected by an improved detection control.

Concept tested: Impact of controls on risk likelihood

Source: https://learn.microsoft.com/en-us/compliance/regulatory/risk-management-framework-identify-and-assess-risks

Topics

#Risk assessment#Risk likelihood#Controls implementation#Fraud detection

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