After real user traffic, the assumptions to recheck are whether the evidence still comes from conditions similar to the intended deployment setting, whether qualitative or quantitative results still support assumptions made for the intended use, and whether testing is being performed regularly while the system is in operation. The cited NIST AI RMF guidance states that AI system performance or assurance criteria are measured qualitatively or quantitatively and demonstrated for conditions similar to deployment settings; it also states that AI systems should be tested before deployment and regularly while in operation.
How to check them
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Deployment similarity. Compare the conditions represented in the test record with the conditions produced by current traffic. The review should ask whether the relevant inputs, use situations, and operating context are similar. A material difference does not automatically prove failure, but it can make earlier evidence less directly applicable to the current setting.
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Performance or assurance evidence. Review the evidence used to measure performance or assurance criteria. Qualitative observations, quantitative measures, or both may be relevant, depending on the use case. The cited statements do not provide a project-specific metric, threshold, or pass rule, so those choices must be confirmed rather than inferred.
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Regular operational testing. Confirm that testing was not treated as complete once deployment began. Record what was tested, under which conditions, what the results showed, and what has changed since the last review. The cited guidance says that systems should be tested regularly while in operation, but the cited statements do not specify a testing interval.
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Traceability of the conclusion. Connect each assumption to its test conditions, measure, result, and unresolved uncertainty. If traffic or operating context has changed, the team must decide whether the existing evidence remains sufficient or needs to be refreshed. This is a practical application of the deployment-like testing principle, not a separate procedure specified by NIST.
What still requires confirmation
The cited statements do not supply project-specific answers about the deployment definition, evaluation measures, thresholds, testing cadence, ownership, or response process. A product team still needs to confirm:
- what conditions count as deployment-like for the intended use case;
- which qualitative observations or quantitative measurements are required;
- what result is sufficient to support each assumption;
- how often operational testing should occur and what change should trigger another review; and
- who reviews the evidence and what action follows when the evidence does not support an assumption.
A useful post-traffic record states the conditions covered, the evidence collected, the conclusions supported, and the uncertainties left open. Real traffic calls for this recheck; it does not by itself establish that performance is unchanged.