agent hallucinating security questionnaire fields error invented data n

Not specified by the original author.

TL;DR

Fix this by acting on the exact problem first: require the agent to cite the exact source line, document or record for every answer it uses to score a new vendor from its security questionnaire, reject any answer with no source, and rerun the task checking each cited source against the original vendor data. Do not rerun the same operation unchanged, because the same inputs produce the same failure. Prove the fix on one agent run for one vendor first, then rerun the full scope and reconcile the results.

agent hallucinating answers not in source data for score a new vendor from its security questionnaire error hallucination failure

Use this when

• The operation in the agent workflow fails with this exact problem: agent hallucinating answers not in source data for score a new vendor from its security questionnaire error hallucination failure.
• The same failure repeats on retry with unchanged inputs.
• A vendor risk review, questionnaire, screening or vendor record update is blocked until this is resolved.

Not for this skill when

• The notice is a platform outage from the vendor. Resolve that first, then return here if this problem remains.
• The operation completes and you only disagree with a risk judgement or a tier decision. That is a risk owner decision, not this failure.

Steps

1. Reproduce the failure on one named agent run for one vendor in the agent workflow and record the full problem text plus the vendor, record or report involved. Verify: the failure is reproduced on demand on a named scope, not only seen in a log.
2. Apply the specific fix for this problem: require the agent to cite the exact source line, document or record for every answer it uses to score a new vendor from its security questionnaire, reject any answer with no source, and rerun the task checking each cited source against the original vendor data. Verify: the single failing agent run for one vendor now behaves as the fix predicts, or the corrected value is visible on the record.
3. Check neighbouring vendor records, questionnaires or reports that share the same workflow, template or schedule, because this class of failure rarely affects only one vendor. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Rerun the original operation in the agent workflow on the previously failing scope, watching for the same problem rather than assuming success from a quiet log. Verify: the operation completes and the original problem does not appear.
5. Compare the result against the source of truth, the vendor supplied document, the questionnaire response or the risk record, so a silent partial success is caught. Verify: values match the source or every difference is named and explained.
6. Record the fix, the triggering input and the verification result on the vendor record or review log so the next occurrence is recognised immediately. Verify: the record names the problem, the fix applied and the evidence of success.

Variant phrasings

agent hallucinating answers not in source data for score a new vendor from its security questionnaire error hallucination failure

The verbatim form searchers paste from the console, report or run log. Treat it identically: same fix, same single scope proof, then the full rerun.

How to fix - agent hallucinating answers not in source data for score a new vendor from its security questionnaire error hallucination failure

The how to phrasing for the same failure in the agent workflow. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

The agent workflow troubleshooting for this failure

The symptom first phrasing used when the console hides the full problem. Surface the full problem first, confirm it matches the text block above, then follow the steps.

Why it happens

An agent fills gaps in retrieved vendor data with plausible sounding answers when it is not forced to ground each answer in a source, so missing certifications, dates or scores get invented instead of being reported as missing.

Edge cases

• The vendor record, questionnaire version or portal page changed after the failing run started. Refresh the current state and reapply the fix against the current values, not the values from the failed run.
• The single scope proof passes but the full rerun still fails on other vendors. Treat each remaining failure as its own scope, because a shared workflow, template or schedule can hide more than one cause.
• The source systems disagree on the correct value. The vendor supplied document governs what the vendor attested, the risk tool record governs the stored score or status, and the procurement record governs vendor identity and lifecycle status; record which source won and why.

Compatibility: The agent workflow at current versions, plus the vendor risk, procurement or source system the query names; no extra tooling beyond access to the source records needed to verify results.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_MnhuXUVK-s1VqmipL7vNtg

Resolved from the public thread: https://vectle.com/posts/pst_MnhuXUVK-s1VqmipL7vNtg

Thread query: agent hallucinating answers not in source data for score a new vendor from its security questionnaire error hallucination failure

TL;DR: Fix this by acting on the exact problem first: require the agent to cite the exact source line, document or record for every answer it uses to score a new vendor from its security questionnaire, reject any answer with no source, and rerun the task checking each cited source against the original vendor data. Do not rerun the same operation unchanged, because the same inputs produce the same failure. Prove the fix on one agent run for one vendor first, then rerun the full scope and reconcile the results.

Not specified by the original author.

TL;DR

Fix this in the agent workflow for security questionnaire by acting on the exact message first: require every value the agent writes to carry the ID of the source record it came from, reject any value with no source ID, and mark genuinely missing values as unanswered instead of letting the agent fill the gap. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.

agent hallucinating security questionnaire fields error invented data not in source

Use this when

• The operation in the agent workflow for security questionnaire fails with this exact message: agent hallucinating security questionnaire fields error invented data not in source.
• The same failure repeats on retry with unchanged inputs.
• A review, export or check is blocked until this item completes.

Not for this skill when

• The message is a permission or outage notice from the platform. Resolve that first, then return here if this error remains.
• The operation completes and you only disagree with its output. That is a quality review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in the agent workflow for security questionnaire, and copy the full message plus the questionnaire, answer or evidence item involved into the run notes. Verify: the error is reproduced on demand with a named item, not only seen in a log.
2. Apply the specific fix for this error: require every value the agent writes to carry the ID of the source record it came from, reject any value with no source ID, and mark genuinely missing values as unanswered instead of letting the agent fill the gap. Verify: a sample of written values each traces to a real source record and missing values show as unanswered.
3. Check the neighbouring items that share the same config, template, feed or credential, because this class of failure rarely affects only one item. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Compare the result counts, decisions or alerts against the source in the agent workflow for security questionnaire so a silent partial success is caught before sign off. Verify: counts match the source or every difference is named and explained.
5. Rerun the original operation in the agent workflow for security questionnaire on the previously failing scope, watching for the same message rather than assuming success from a quiet log. Verify: the operation completes and the original message does not appear.
6. Record the fix, the triggering input and the verification result on the item so the next occurrence is recognised immediately. Verify: the record names the error, the fix applied and the evidence of success.

Why it happens

the agent was asked for complete output with no grounding check, so it invented plausible values for the records it could not find.

Variant phrasings

agent hallucinating security questionnaire fields error invented data not in source

The verbatim form searchers paste from the terminal or console. Treat it identically: same fix, same single item proof, then the full rerun.

How to fix: agent hallucinating security questionnaire fields error invented data not in source failure

The how-to phrasing for the same failure in the agent workflow for security questionnaire. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

the agent workflow for security questionnaire troubleshooting for this failure

The symptom-first phrasing used when the console hides the full message. Surface the full message first, confirm it matches the code block above, then follow the steps.

Compatibility: the agent workflow for security questionnaire at current versions, plus the platform API or console the query names; no extra tooling beyond a text editor and the source system access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_Spe7EUYd6834QWiH0evR6g

Resolved from the public thread: https://vectle.com/posts/pst_Spe7EUYd6834QWiH0evR6g

Thread query: agent hallucinating security questionnaire fields error invented data not in source failure

TL;DR: Fix this in the agent workflow for security questionnaire by acting on the exact message first: require every value the agent writes to carry the ID of the source record it came from, reject any value with no source ID, and mark genuinely missing values as unanswered instead of letting the agent fill the gap. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.

Not specified by the original author.

TL;DR

Fix this in synthetic data agent workflow by acting on the exact message first: constrain the agent to the source schema field list, validate every field name in its output or plan against that list, and reject any step that references a field the schema does not contain. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one table, batch or record set first, then rerun the full scope and reconcile the counts.

agent hallucinating synthetic data fields - invented data not in source

Use this when

• The operation in synthetic data agent workflow fails with this exact message or symptom: agent hallucinating synthetic data fields - invented data not in source.
• The same failure repeats on retry with unchanged inputs.
• Generation, validation or export is blocked until this item completes.

Not for this skill when

• The message is an outage notice from the platform. Resolve that first, then return here if this error remains.
• The operation completes and you only disagree with its output quality. That is a quality review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in synthetic data agent workflow, and copy the full message plus the table, column or job involved into the run notes. Verify: the error is reproduced on demand with a named scope, not only seen in a log.
2. Apply the specific fix for this error: constrain the agent to the source schema field list, validate every field name in its output or plan against that list, and reject any step that references a field the schema does not contain. Verify: the smallest failing scope now completes, or the named column, table or job behaves as the fix predicts.
3. Check the neighbouring tables, columns or jobs that share the same config, schema or credential, because this class of failure rarely affects only one item. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Rerun the original operation in synthetic data agent workflow on the previously failing scope, watching for the same message rather than assuming success from a quiet log. Verify: the operation completes and the original message does not appear.
5. Compare the result counts, distributions or status against the source in synthetic data agent workflow so a silent partial success is caught before sign off. Verify: counts match the source or every difference is named and explained.
6. Record the fix, the triggering input and the verification result on the item so the next occurrence is recognised immediately. Verify: the record names the error, the fix applied and the evidence of success.

Why it happens

Agents invent plausible sounding fields when working from a task description instead of the actual schema, and schema validation is the cheap check that stops it.

Variant phrasings

agent hallucinating synthetic data fields - invented data not in source

The verbatim form searchers paste from the terminal or console. Treat it identically: same fix, same single scope proof, then the full rerun.

How to fix - agent hallucinating synthetic data fields error invented data not in source failure

The how-to phrasing for the same failure in synthetic data agent workflow. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

synthetic data agent workflow troubleshooting for this failure

The symptom-first phrasing used when the console hides the full message. Surface the full message first, confirm it matches the code block above, then follow the steps.

Compatibility: synthetic data agent workflow at current versions, plus the platform API or console the query names; no extra tooling beyond the source system access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_1cCPRZL0tNcu39DjvVAevQ

Resolved from the public thread: https://vectle.com/posts/pst_1cCPRZL0tNcu39DjvVAevQ

Thread query: agent hallucinating synthetic data fields error invented data not in source failure

TL;DR: Fix this in synthetic data agent workflow by acting on the exact message first: constrain the agent to the source schema field list, validate every field name in its output or plan against that list, and reject any step that references a field the schema does not contain. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one table, batch or record set first, then rerun the full scope and reconcile the counts.