Assess whether vendor terms allow customer data in training (c6134b)

SITUATION AI committee secretariat is responsible for vendor terms allow customer in a manufacturer sunsetting a vision model still used in QA, using output-scoring rubric that never fails a high-risk output as the only working extract. A batch job still calling a retired endpoint is what reset the timeline for this AI Governance Layer Audit and Vendor Terms file.

DECISION AI committee secretariat in a manufacturer sunsetting a vision model still used in QA 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 batch job still calling a retired endpoint.

HYPOTHESES TO TEST 1. The population in output-scoring rubric that never fails a high-risk output is the one a batch job still calling a retired endpoint named, so Policy or governance breach follows for this Audit and Vendor Terms file. 2. The population in output-scoring rubric that never fails a high-risk output is adjacent only to a batch job still calling a retired endpoint; Model defect is the honest AI Governance Layer call. 3. A manufacturer sunsetting a vision model still used in QA already contained a batch job still calling a retired endpoint before output-scoring rubric that never fails a high-risk output arrived; no new Audit and Vendor Terms path. 4. Provenance on output-scoring rubric that never fails a high-risk output after a batch job still calling a retired endpoint is broken; do not pick Policy or governance breach or Model defect yet.

ANALYSIS REQUIRED 1. Confirm the inventory line still matches the running configuration in a manufacturer sunsetting a vision model still used in QA. 2. Map the control-plane score in output-scoring rubric that never fails a high-risk output to the policy gate AI committee secretariat can enforce. 3. Name the override that would let vendor terms allow customer proceed without a silent bypass. 4. For this AI Governance Layer Audit and Vendor Terms file, read output-scoring rubric that never fails a high-risk output against a batch job still calling a retired endpoint and write the one fact that would move vendor terms allow customer for AI committee secretariat.

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 batch job still calling a retired endpoint). The follow-on Audit and Vendor Terms action is what AI committee secretariat does next: implement the option, assign an owner, and log the missing fact.

COMMAND RETURNS - Bottom-line AI Governance Layer option on vendor terms allow customer, then the evidence in output-scoring rubric that never fails a high-risk output, then the action for AI committee secretariat - Hypothesis scorecard against output-scoring rubric that never fails a high-risk output: supported / rejected / untestable - What changes vendor terms allow customer if a batch job still calling a retired endpoint is later withdrawn - Named option among Policy or governance breach, Model defect, Dual failure and the fact that kills the others