Question 60
At the Lakehaven insurance organization, a vision-assisted security classifier trusts an easily altered user-supplied image label as its ground truth. Which ongoing control best prevents this issue from recurring?
Explanation
Correct Answer
This control works beyond the initial remediation because it requires the team to retest model inputs against adversarial and spoofed samples.
Incorrect Answers
That routine supports untrusted model supply chain, but the relevant ongoing risk requires the team to retest model inputs against adversarial and spoofed samples. For the Lakehaven insurance organization, the direct corrective action is to validate the source and decision consequences with controlled out-of-band checks.
Test canonicalization and path boundaries after download feature changes. That safeguard would help prevent recurrence of: Unvalidated path components can escape the intended storage directory. The risk being reviewed here is instead: Manipulated input can induce unreliable predictions when authenticity is assumed. The matching ongoing control is: Retest model inputs against adversarial and spoofed samples.
Review duplicate change detection in automation pipelines is not the primary recurring safeguard for this problem. The team should retest model inputs against adversarial and spoofed samples. For the Lakehaven insurance organization, the direct corrective action is to validate the source and decision consequences with controlled out-of-band checks.