Assess whether vendor terms allow customer data in training (0bfea4)

SITUATION A human reviewer who clicked approve in under two seconds put output-scoring rubric that never fails a high-risk output in front of model-deprecation manager in a company whose agents can send email without a gate. This AI Governance Layer / Audit and Vendor Terms close is vendor terms allow customer from output-scoring rubric that never fails a high-risk output, and the live options are Policy or governance breach, Model defect, Dual failure.

DECISION Model-deprecation manager in a company whose agents can send email without a gate must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using output-scoring rubric that never fails a high-risk output after a human reviewer who clicked approve in under two seconds.

HYPOTHESES TO TEST 1. Authorize Policy or governance breach now; output-scoring rubric that never fails a high-risk output already has the discriminator after a human reviewer who clicked approve in under two seconds. 2. Keep Model defect in force until output-scoring rubric that never fails a high-risk output is completed after a human reviewer who clicked approve in under two seconds for model-deprecation manager. 3. Treat output-scoring rubric that never fails a high-risk output as Dual failure because both readings appear after a human reviewer who clicked approve in under two seconds. 4. Refuse a AI Governance Layer close: model-deprecation manager does not have the decision vendor terms allow customer turns on in output-scoring rubric that never fails a high-risk output.

ANALYSIS REQUIRED 1. Score whether the agent action in output-scoring rubric that never fails a high-risk output was in-policy, out-of-policy, or unlogged. 2. Confirm the inventory line still matches the running configuration in a company whose agents can send email without a gate. 3. Map the control-plane score in output-scoring rubric that never fails a high-risk output to the policy gate model-deprecation manager can enforce. 4. For this AI Governance Layer Audit and Vendor Terms file, read output-scoring rubric that never fails a high-risk output against a human reviewer who clicked approve in under two seconds and write the one fact that would move vendor terms allow customer for model-deprecation manager.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance Layer / Audit and Vendor Terms packet (output-scoring rubric that never fails a high-risk output after a human reviewer who clicked approve in under two seconds). If output-scoring rubric that never fails a high-risk output cannot force a AI Governance Layer label under Audit and Vendor Terms, stop. If output-scoring rubric that never fails a high-risk output after a human reviewer who clicked approve in under two seconds cannot support Policy or governance breach versus Model defect on this AI Governance Layer Audit and Vendor Terms close, model-deprecation manager must leave the classification unresolved and name the missing control or provenance fact.