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“Monitor hallucination and missing citations” concerns Model alone invents rules not in corporate source; the reported problem instead is Prompt exceeds deployment context/token budget. Monitor context overflows and truncated citations.

“Monitor schema changes and parsing failures” concerns SQL code treats whole response envelope as plain answer; the reported problem instead is Prompt exceeds deployment context/token budget. Monitor context overflows and truncated citations.

“Monitor stale citations and source deletion” concerns Assistant answers without linking supporting source rows; the reported problem instead is Prompt exceeds deployment context/token budget. Monitor context overflows and truncated citations.

“Inspect retrieval provenance and role separation” concerns Untrusted document text could influence agent behavior; the reported problem instead is SQL code treats whole response envelope as plain answer. Inspect response structure and error branches.

“Inspect retrieval relevance threshold and abstention criteria” concerns Model invents an answer despite no relevant retrieved evidence; the reported problem instead is SQL code treats whole response envelope as plain answer. Inspect response structure and error branches.

“Inspect data classification and outbound prompt payload” concerns Unneeded PII would be sent to external language model; the reported problem instead is SQL code treats whole response envelope as plain answer. Inspect response structure and error branches.

“Use supported SQL JSON generation for structured prompt payload” concerns String concatenation produces malformed JSON when text contains quotes; the reported problem instead is SQL code treats whole response envelope as plain answer. Parse returned JSON response fields with validated paths.

“Implement grounded-response gate that declines unsupported requests” concerns Model invents an answer despite no relevant retrieved evidence; the reported problem instead is SQL code treats whole response envelope as plain answer. Parse returned JSON response fields with validated paths.

“Project only permitted fields and redact sensitive columns before model call” concerns Unneeded PII would be sent to external language model; the reported problem instead is SQL code treats whole response envelope as plain answer. Parse returned JSON response fields with validated paths.

“Build prompt from masked synthetic customer records” concerns Unneeded PII would be sent to external language model; the reported problem instead is SQL code treats whole response envelope as plain answer. Use synthetic success and error endpoint responses.

“Ask a fictional question with zero matching snippets” concerns Model invents an answer despite no relevant retrieved evidence; the reported problem instead is SQL code treats whole response envelope as plain answer. Use synthetic success and error endpoint responses.

“Query a large synthetic corpus and form limited prompt” concerns Prompt exceeds deployment context/token budget; the reported problem instead is SQL code treats whole response envelope as plain answer. Use synthetic success and error endpoint responses.

“Answer points to current referenced source and flags conflict” concerns Assistant answers without linking supporting source rows; the reported problem instead is SQL code treats whole response envelope as plain answer. Answer text is extracted correctly or errors reported safely.

“Grounded answer cites appropriate source instead of unsupported claims” concerns Model alone invents rules not in corporate source; the reported problem instead is SQL code treats whole response envelope as plain answer. Answer text is extracted correctly or errors reported safely.

“Payload parses correctly and contains only allowed fields” concerns String concatenation produces malformed JSON when text contains quotes; the reported problem instead is SQL code treats whole response envelope as plain answer. Answer text is extracted correctly or errors reported safely.

“Monitor outbound endpoint audit events” concerns Any SQL login could exfiltrate data if broad EXEC rights are granted; the reported problem instead is SQL code treats whole response envelope as plain answer. Monitor schema changes and parsing failures.

“Monitor unsupported-answer rate and recall gaps” concerns Model invents an answer despite no relevant retrieved evidence; the reported problem instead is SQL code treats whole response envelope as plain answer. Monitor schema changes and parsing failures.

“Monitor hallucination and missing citations” concerns Model alone invents rules not in corporate source; the reported problem instead is SQL code treats whole response envelope as plain answer. Monitor schema changes and parsing failures.

“Inspect retrieval provenance and role separation” concerns Untrusted document text could influence agent behavior; the reported problem instead is Model invents an answer despite no relevant retrieved evidence. Inspect retrieval relevance threshold and abstention criteria.

“Inspect retrieval count, chunk sizes and endpoint token limits” concerns Prompt exceeds deployment context/token budget; the reported problem instead is Model invents an answer despite no relevant retrieved evidence. Inspect retrieval relevance threshold and abstention criteria.

“Inspect groundedness requirement and available authorized documents” concerns Model alone invents rules not in corporate source; the reported problem instead is Model invents an answer despite no relevant retrieved evidence. Inspect retrieval relevance threshold and abstention criteria.

“Parse returned JSON response fields with validated paths” concerns SQL code treats whole response envelope as plain answer; the reported problem instead is Model invents an answer despite no relevant retrieved evidence. Implement grounded-response gate that declines unsupported requests.

“Project only permitted fields and redact sensitive columns prior to model call” addresses the rag confidential-data minimization situation—unneeded PII would be sent to external language model. The observed failure is: Model invents an answer despite no relevant retrieved evidence. Implement grounded-response gate that declines unsupported requests.

“Use RAG to retrieve relevant policy passages as context for generation” concerns Model alone invents rules not in corporate source; the reported problem instead is Model invents an answer despite no relevant retrieved evidence. Implement grounded-response gate that declines unsupported requests.

“Build prompt from masked synthetic customer records” concerns Unneeded PII would be sent to external language model; the reported problem instead is Model invents an answer despite no relevant retrieved evidence. Ask a fictional question with zero matching snippets.

“Use synthetic success and error endpoint responses” concerns SQL code treats whole response envelope as plain answer; the reported problem instead is Model invents an answer despite no relevant retrieved evidence. Ask a fictional question with zero matching snippets.

“Ask sample question with conflicting old and new policies” concerns Assistant answers without linking supporting source rows; the reported problem instead is Model invents an answer despite no relevant retrieved evidence. Ask a fictional question with zero matching snippets.

“Payload fits context while retaining needed evidence” concerns Prompt exceeds deployment context/token budget; the reported problem instead is Model invents an answer despite no relevant retrieved evidence. System clearly reports insufficient evidence rather than fabricating policy.

“Grounded answer cites appropriate source instead of unsupported claims” concerns Model alone invents rules not in corporate source; the reported problem instead is Model invents an answer despite no relevant retrieved evidence. System clearly reports insufficient evidence rather than fabricating policy.

“Procedure retries within policy, does not duplicate business writes” concerns Blind retries duplicate charges or overload endpoint; the reported problem instead is Model invents an answer despite no relevant retrieved evidence. System clearly reports insufficient evidence rather than fabricating policy.

“Monitor retry rate, token cost and latency” concerns Blind retries duplicate charges or overload endpoint; the reported problem instead is Model invents an answer despite no relevant retrieved evidence. Monitor unsupported-answer rate and recall gaps.

“Monitor hallucination and missing citations” concerns Model alone invents rules not in corporate source; the reported problem instead is Model invents an answer despite no relevant retrieved evidence. Monitor unsupported-answer rate and recall gaps.

“Monitor schema changes and parsing failures” concerns SQL code treats whole response envelope as plain answer; the reported problem instead is Model invents an answer despite no relevant retrieved evidence. Monitor unsupported-answer rate and recall gaps.