Which of the following is the MOST effective way to mitigate the risk of deepfake attacks?
A.
Relying on human judgment for oversight
B.
Limiting employee access to AI tools
C.
Validating the provenance of the data source
D.
Using a general-purpose large language model (LLM) to detect fraud
The Answer Is:
C
This question includes an explanation.
Explanation:
AAISM study content identifies validating the provenance of data sources as the most effective way to counter deepfake risks. Provenance validation ensures that content is authentic, verifiable, and traceable, preventing malicious synthetic media from being trusted as legitimate. Human oversight helps but cannot reliably detect sophisticated fakes. Limiting tool access reduces exposure but does not prevent external attacks. General-purpose LLMs are not optimized for fraud detection. The strongest control is verifying the origin and authenticity of data before acceptance.
[References:, AAISM Study Guide – AI Risk Management (Deepfake and Content Integrity Risks), ISACA AI Security Management – Provenance Validation as a Defense, , ]
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