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A financial organization relies on AI-based identity verification and fraud detection services. Which of the following BEST integrates AI security risk into the business continuity plan (BCP)?
Suggested Answer: C
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AAISM stresses that AI systems and their supporting infrastructure must be explicitly included in disaster recovery and continuity planning, since disruptions to models, feature stores, or pipelines can halt critical business functions.
Explainability (A) and retraining (B) are operational improvements, not continuity mechanisms. Multi-zone redundancy (D) improves availability but does not represent complete BCP integration.
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12 comments · newest first
IV
Ivette
3 months ago
A is interesting too. Documenting decisions helps transparency.
RE
Reuben
3 months ago
I lean towards D. Duplicating services ensures uptime.
TE
Tess
3 months ago
I think C is the best choice. Infrastructure is crucial for recovery.
BR
Britt
3 months ago
Duplicating microservices sounds good, but is it really necessary?
EL
Elliot
3 months ago
Totally agree with C! Can't overlook the infrastructure.
BE
Bernardo
4 months ago
Wait, can we really trust AI for this? Seems risky.
LI
Linwood
5 months ago
A is important too, but I lean towards C.
TO
Tora
5 months ago
I think C is the best choice. Infrastructure matters!
LA
Lai
6 months ago
Periodic retraining with pre-labeled data seems relevant, but I can't recall if it directly ties into the BCP like the other options might.
MI
Milly
6 months ago
Duplicating AI microservices sounds like a solid strategy, but I wonder if it really addresses the security risks effectively.
MA
Markus
6 months ago
I remember a practice question about disaster recovery, and I feel like including AI model infrastructure in those scenarios could be crucial.
DA
Daniel
6 months ago
I think using explainable AI to document decision paths is important, but I'm not sure if it's the best for integrating AI security risk into the BCP.