Isaca AAISM Exam - Topic 1 Question 7 Discussion

Actual exam question for Isaca's AAISM exam

Question #: 7
Topic #: 1

How can an organization BEST protect itself from payment diversions caused by deepfake attacks impersonating management?

ARequire mandatory deepfake detection training for all employees

BMandate that payments be sent only once per week

CIssue a security policy on deepfakes

DImplement resilient payment approval processes

Show Suggested Answer

Suggested Answer: D

AAISM's risk management framework stresses that the most effective defense against deepfake-enabled fraud, such as payment diversion, is resilient payment approval processes. This includes multi-step verification, segregation of duties, and independent confirmations for high-value transactions. Employee training, policies, or limiting payment frequency may reduce exposure, but they cannot guarantee prevention. Only process-based controls enforce structural safeguards that prevent fraudulent instructions from being executed, even if a deepfake impersonation attempt is successful.

AAISM Exam Content Outline -- AI Risk Management (Fraud and Deepfake Risk)

AI Security Management Study Guide -- Transactional Resilience and Controls

by Eun at Nov 24, 2025, 07:54 AM

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Carrol

9 hours ago

A) sounds like a solid start!

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Doug

6 days ago

D) Definitely the way to go. Robust approval processes are key to preventing payment diversions.

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Phillip

11 days ago

C) A security policy on deepfakes is important, but it needs to be backed up by actual security measures.

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Emilio

16 days ago

Haha, B) Mandate payments once a week? That's like putting a band-aid on a bullet wound!

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Mary

21 days ago

A) Mandatory deepfake detection training is a good start, but it's not enough on its own.

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Deonna

26 days ago

D) Implement resilient payment approval processes. This is the best way to protect against deepfake attacks.

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Kip

1 month ago

Mandating weekly payments sounds a bit too restrictive. I feel like it could slow down operations without really addressing the deepfake issue.

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Beatriz

1 month ago

I remember a practice question about payment fraud, and I think issuing a security policy could be helpful, but it might not be enough on its own.

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Caprice

1 month ago

I'm not sure about the effectiveness of just training employees on deepfake detection. It seems like they could still fall for a convincing video.

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Naomi

2 months ago

Option D is the way to go. Strengthening the payment approval workflow is key - things like requiring multiple approvals, verifying identities through multiple channels, and having a clear escalation process. That's going to be the most effective defense against these kinds of attacks.

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Luisa

2 months ago

I'm leaning towards B. Limiting payments to once a week could really reduce the window of opportunity for a deepfake attack. Plus, it's a simple policy change that's easy to implement. The other options seem more complex.

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Leota

2 months ago

Definitely go with option D. Implementing a robust payment approval system with multiple layers of verification is the surest way to prevent diversions, even if a deepfake slips through. The other options are good but not as comprehensive.

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Tomas

2 months ago

I think A is crucial. Training helps everyone stay alert.

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Vi

2 months ago

I think option D makes the most sense since having robust approval processes could help catch any suspicious requests.

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Timothy

3 months ago

C is a good start, but it needs to be more than just a policy.

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Marguerita

3 months ago

D is the best option. Strong processes can prevent fraud effectively.

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Gary

3 months ago

I'm a bit confused by the options. Requiring training and issuing a policy seem like good first steps, but I'm not sure they're the "best" approach. Maybe the payment approval process is the way to go?

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Murray

3 months ago

Hmm, this is a tricky one. I think the key is to focus on the "best" part of the question - we need to find the most effective solution to protect against deepfake attacks.

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Tasia

2 months ago

I think A is crucial. Training helps everyone recognize deepfakes.

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