AAIA · Question #57
Which of the following is MOST important to consider when auditing an organization's AI procedures?
The correct answer is D. AI data validation and filtration to prevent data poisoning. Data poisoning is one of the most critical threats to AI systems-if an attacker corrupts the training or input data, the entire model's integrity is compromised at its foundation. AI data validation and filtration (D) directly addresses this risk by ensuring inputs are verified a
Question
Which of the following is MOST important to consider when auditing an organization's AI procedures?
Options
- AFrequency of AI system updates to enhance security
- BEmployee training on recognized AI best practices
- CBackup and recovery in the event of an AI data breach
- DAI data validation and filtration to prevent data poisoning
How the community answered
(49 responses)- A24% (12)
- B10% (5)
- C8% (4)
- D57% (28)
Explanation
Data poisoning is one of the most critical threats to AI systems-if an attacker corrupts the training or input data, the entire model's integrity is compromised at its foundation. AI data validation and filtration (D) directly addresses this risk by ensuring inputs are verified and malicious data is filtered out before it can influence the model. This is the most fundamental control because a compromised dataset undermines everything else the AI does. Update frequency (A) affects security posture but is not the primary concern. Employee training (B) is important for governance but not the highest technical risk. Backup and recovery (C) is a resilience control, not a prevention control targeting the AI-specific threat of data poisoning.
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