Which of the following is the MOST effective way to mitigate the risk of deepfake attacks?

Question

Options

• ARelying on human judgment for oversight
• BLimiting employee access to AI tools
• CValidating the provenance of the data source
• DUsing a general-purpose large language model (LLM) to detect fraud

• A
  8% (2)
• B
  8% (2)
• C
  81% (21)
• D
  4% (1)

Explanation

Validating the provenance of a data source means verifying the origin and authenticity of media or information before trusting it. This is the most effective technical control against deepfakes because it directly addresses the mechanism of the attack-fabricated or manipulated content that falsely appears legitimate. Human judgment (A) is insufficient because sophisticated deepfakes are specifically designed to deceive human perception. Restricting employee access to AI tools (B) is an organizational control that reduces the attack surface but does not help detect or mitigate deepfakes already in circulation. Using a general-purpose LLM (D) is not reliable for deepfake detection; LLMs are not specialized forensic tools and can themselves be manipulated or produce false results.

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