First SOC 2 program
A credible starting point
For consequential outputs, require a reviewer to verify key claims against linked records and record approval, correction, rejection, or escalation.
SOC 2 Control Implementation Guide
AI / LLM Governance
Output Validation and Evidence for SOC 2
AI/LLM-generated outputs are reviewed for grounding, accuracy, sensitive data, hallucination risk, and evidence traceability before operational reliance.
Use this guide to put the control into operation, decide what records to retain, and check that an auditor can trace the evidence back to the work your team performed.
Maintained by GreenHat Security · Reviewed August 21, 2026
What this control should accomplish
Operationally relied-upon AI output is checked for support, correctness, sensitive content, and traceable evidence before use or release.
As the company scales
Make it repeatable
Combine groundedness checks, content and data filters, sampled human review, calibrated thresholds, and trend analysis by workflow and version.
How to implement Output Validation and Evidence
- 1
Define acceptance criteria
Specify which claims need support, tolerated uncertainty, prohibited sensitive content, and the outputs requiring human approval.
You should end up with: Output validation rubric
- 2
Attach supporting records
Retain source links, record identifiers, retrieval excerpts, tool results, or other support needed to verify material claims.
You should end up with: Evidence-linked output record
- 3
Record the decision
Capture validation checks, reviewer, decision, corrections, escalation, and final released output for covered cases.
You should end up with: Attributable output review history
- 4
Analyze failures
Group unsupported, inaccurate, sensitive, or untraceable results by workflow version and track corrective changes.
You should end up with: Validation trend and remediation log
Evidence to keep, and what it should prove
Build the evidence set in three layers: what defines the control, who approved or reviewed it, and what proves it operated. Collect operating records when the work happens so they remain dated, attributable, correctly scoped, and traceable to the underlying activity.
Before sharing, remove unrelated personal or customer data, never expose passwords, tokens, or secret values, preserve enough source context to authenticate the record, and use the secure exchange approved for the engagement.
Approval / review evidence
Records showing that an accountable person reviewed, approved, challenged, or accepted the work.
Output review records
Confirm what the record proves
Covered production outputs received the required support, accuracy, sensitivity, and release decision before operational reliance.
Include this context
Output or execution ID
Include this context
Workflow version
Include this context
Review checks
Include this context
Reviewer
Include this context
Decision and time
Include this context
Final disposition
Weak evidence to avoid
A collection of outputs marked reviewed without the checks performed, reviewer, decision, or final released version.
validation notes
Confirm what the record proves
The reviewer documented unsupported, inaccurate, sensitive, or uncertain content and the correction or escalation taken.
Include this context
Output ID
Include this context
Validation criterion
Include this context
Finding
Include this context
Severity
Include this context
Disposition
Include this context
Reviewer and timestamp
Weak evidence to avoid
A free-text note saying checked with no criterion, finding, correction, decision, or attributable reviewer.
customer-facing approval records
Confirm what the record proves
The exact output released to a customer received authorized approval and matches the reviewed version.
Include this context
Output and customer record IDs
Include this context
Final content version
Include this context
Approver
Include this context
Approval timestamp
Include this context
Delivery channel
Include this context
Delivery status
Weak evidence to avoid
An approval in chat that cannot be tied to the final content or customer delivery event.
Operating / technical evidence
Dated proof that the control actually ran, such as tickets, logs, settings, exports, reports, and test results.
evidence links
Confirm what the record proves
Material generated claims can be traced to stable supporting records available to the reviewer at decision time.
Include this context
Output ID
Include this context
Claim or section
Include this context
Source record ID
Include this context
Source version
Include this context
Retrieval time
Include this context
Access location
Weak evidence to avoid
Clickable links to mutable home pages that do not identify the supporting record, version, or claim.
Which records should you prepare for the audit?
Type 1
Evidence at the as-of date
Retain current output-validation criteria, the latest scheduled annual validation-effectiveness review and disposition, and one recent customer-facing or operational output traced through supporting evidence, review findings, approval, and final disposition on the selected date.
Type 2
Evidence across the review period
Export every production output during the period that met a validation or human-approval trigger, including approved, corrected, rejected, escalated, blocked, failed, and customer-delivered results, plus all detected validation failures from automated checks and every scheduled annual output-validation effectiveness review, including no-change completions, missed reviews, and rescheduled reviews.
Completeness check
Reconcile triggered runtime outputs to automated validation and human-review queues, then match approved customer-facing items to delivery records and account for rejected, corrected, and missing decisions. Separately reconcile every annual review due date to a completed no-change or criteria-change decision, a documented missed review, or a rescheduled review that preserves the original and new due dates.
Build the record set from
- • Workflow runtime
- • Output-validation service
- • Human-review queue
- • Retrieval or citation store
- • Customer communication system
- • Issue tracker
- • Annual review schedule and review records
Keep these fields for each record
- • Record type
- • Execution and output IDs
- • Workflow version
- • Validation trigger and results
- • Evidence references
- • Reviewer
- • Decision and timestamp
- • Final output version
- • Delivery status
- • Annual review due date
- • Annual review status
- • Completion or rescheduled date
- • Review decision and follow-up
How an auditor may test this control
Use this checklist to prepare for procedures an auditor may perform. The exact steps and sample selection depend on your engagement scope and the service auditor's professional judgment.
Confirm the intended control outcome
Determine whether the control is designed to achieve this result: Operationally relied-upon AI output is checked for support, correctness, sensitive content, and traceable evidence before use or release.
Confirm ownership and operating cadence
Compare the documented owner with the intended role (AI Workflow Owner / CISO / Engineering), then compare dated records with the stated cadence: Per workflow/change; review at least annually.
Establish the complete audit record set
Reconcile triggered runtime outputs to automated validation and human-review queues, then match approved customer-facing items to delivery records and account for rejected, corrected, and missing decisions. Separately reconcile every annual review due date to a completed no-change or criteria-change decision, a documented missed review, or a rescheduled review that preserves the original and new due dates.
Prepare the as-of-date evidence for a Type 1 engagement
Retain current output-validation criteria, the latest scheduled annual validation-effectiveness review and disposition, and one recent customer-facing or operational output traced through supporting evidence, review findings, approval, and final disposition on the selected date.
Prepare period evidence for a Type 2 engagement
Export every production output during the period that met a validation or human-approval trigger, including approved, corrected, rejected, escalated, blocked, failed, and customer-delivered results, plus all detected validation failures from automated checks and every scheduled annual output-validation effectiveness review, including no-change completions, missed reviews, and rescheduled reviews.
Inspect the approval / review evidence
Records showing that an accountable person reviewed, approved, challenged, or accepted the work.
Inspect Output review records
For each selected record, confirm it demonstrates Covered production outputs received the required support, accuracy, sensitivity, and release decision before operational reliance.
- Output or execution ID
- Workflow version
- Review checks
- Reviewer
- Decision and time
- Final disposition
Inspect validation notes
For each selected record, confirm it demonstrates The reviewer documented unsupported, inaccurate, sensitive, or uncertain content and the correction or escalation taken.
- Output ID
- Validation criterion
- Finding
- Severity
- Disposition
- Reviewer and timestamp
Inspect customer-facing approval records
For each selected record, confirm it demonstrates The exact output released to a customer received authorized approval and matches the reviewed version.
- Output and customer record IDs
- Final content version
- Approver
- Approval timestamp
- Delivery channel
- Delivery status
Inspect the operating / technical evidence
Dated proof that the control actually ran, such as tickets, logs, settings, exports, reports, and test results.
Inspect evidence links
For each selected record, confirm it demonstrates Material generated claims can be traced to stable supporting records available to the reviewer at decision time.
- Output ID
- Claim or section
- Source record ID
- Source version
- Retrieval time
- Access location
Trace the control from design to operation
Use the categories that apply to this control: connect any policy or design artifact to its approval or review record, then trace a selected operating record through execution, result, and any exception or remediation.
Common implementation and evidence gaps
- A fluent answer is accepted without checking the cited or retrieved record.
- Evidence links point to mutable pages that cannot reconstruct the decision.
- Sensitive-data checks cover user input but not generated output.
- Review outcomes are stored without the model and workflow version.
Before you call this control ready
- Can a reviewer verify each material claim in a sampled output?
- Are rejection, correction, and escalation outcomes retained as well as approvals?
- Can validation failures be compared across workflow versions?
- Does the release path block outputs that fail required checks?
Trust Services Criteria references
These identifiers help you navigate related Trust Services Criteria. They do not reproduce the criteria or prove that this control fully addresses them in your environment.
- CC2.1
- CC7.3
- P8.1
Confirm final scope, mappings, and testing expectations with your service auditor. SOC 2® is an AICPA trademark; GreenHat Security is not affiliated with or endorsed by AICPA.