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?
Correct Answer: A
Risk likelihood is most likely to be reassessed as a result of implementing a machine learning-based solution to monitor IT usage and analyze user behavior in an effort to detect internal fraud, as it may change the probability of fraud occurrence or detection, and affect the risk assessment and response. Risk culture, risk appetite, and risk capacity are not the most likely to be reassessed, as they are more stable and strategic aspects of risk management, and are not directly influenced by the implementation of a specific solution. References = CRISC Review Manual, 7th Edition, page 108.