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?
This is a tricky one, but I think the key is to focus on the purpose of the machine learning initiative - detecting internal fraud. That suggests the risk likelihood would be the most relevant factor to reassess.
I'm a little confused by the wording of the question. Does "reassessed" mean the organization will be reviewing or updating their approach to that risk factor? I'll have to think through the implications of each option.
Okay, I've got this. The machine learning solution is being used to detect internal fraud, so the risk likelihood is most likely to be reassessed as a result of this initiative.
Hmm, I'm a bit unsure about this one. The question is asking about the impact of a machine learning initiative, so I'll need to consider how that might affect different aspects of risk.
This seems like a straightforward question about risk management. I'll think through the options carefully and choose the one that best fits the context.
B) Risk culture. Once they see the ugly truth about people's behavior, they'll have to work on changing the whole organization's attitude towards risk.
Luis
3 months agoMarva
3 months agoGene
3 months agoDaniel
4 months agoAnnice
4 months agoSarah
4 months agoEdna
4 months agoNilsa
4 months agoLoren
5 months agoDylan
5 months agoJerry
5 months agoAntione
5 months agoRebecka
5 months agoOtis
5 months agoDorthy
1 year agoMila
1 year agoDaisy
1 year agoVan
1 year agoShoshana
1 year agoDeangelo
1 year agoJustine
1 year agoMargot
1 year agoJulieta
1 year agoDaisy
1 year agoTijuana
1 year agoKendra
1 year agoAyesha
1 year agoThurman
1 year agoNickolas
1 year agoJarod
1 year ago