Which of the following is a key risk indicator (KRI) for an AI system used for threat detection?

The correct answer is D. Number of system overrides by cyber analysts. AAISM materials emphasize that in operational AI systems, key risk indicators (KRIs) must reflect risks to performance and reliability rather than technical design factors alone. In the case of threat detection, the most relevant KRI is the frequency of system overrides by human

AI Security Operations and Monitoring

Question

Options

ANumber of training epochs
BTraining time of the model
CNumber of layers in the neural network
DNumber of system overrides by cyber analysts

How the community answered

(39 responses)

A
5% (2)
B
3% (1)
C
8% (3)
D
85% (33)

Explanation

AAISM materials emphasize that in operational AI systems, key risk indicators (KRIs) must reflect risks to performance and reliability rather than technical design factors alone. In the case of threat detection, the most relevant KRI is the frequency of system overrides by human analysts, as this indicates a lack of trust, frequent false positives, or poor detection accuracy. Training epochs, model depth, and training time are technical metrics but do not directly measure operational risk. Analyst overrides represent a practical measure of system effectiveness and risk.

Topics

#KRI#AI operational risk#Threat detection AI#AI system monitoring

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