AI Governance Institute
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PRC · ProcurementPRC-008Medium effort

Vendor Model Update Disclosure and Re-Assessment Protocol

Added June 2026

Require disclosure of material vendor model updates, including capability changes, safety results, and revised model cards (vendors' published model fact sheets). Trigger internal reassessment when updates affect prior due diligence.

Objective

Ensure the organization's AI vendor risk posture remains current when vendors release model updates that materially change capabilities, safety characteristics, or compliance properties. Do this by establishing contractual disclosure requirements and a documented re-assessment workflow.

Maturity Levels

1

Initial

The organization is not systematically informed when vendors release model updates. Risk assessments are conducted at procurement and not revisited unless an incident occurs.

2

Developing

The organization monitors vendor announcements informally. Some re-assessment occurs for major version changes but there is no defined trigger or process.

3

Defined

Vendor contracts include a clause requiring disclosure of material model updates, defined as changes that affect capability scope, safety evaluation results, or the terms of the model card. An internal re-assessment protocol defines what triggers a formal review and who conducts it.

4

Managed

The re-assessment protocol is in routine use: disclosure notifications are tracked in the vendor risk register and triaged within a defined window. Re-assessment findings are documented and any required control adjustments are tracked to completion.

5

Optimizing

Re-assessment results feed into the enterprise AI risk register and inform the annual vendor scorecard. The organization participates in vendor beta programs to assess upcoming model changes before they affect live deployments.

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Evidence Requirements

What an auditor or assessor would expect to see for this control.

  • —Vendor contracts containing model update disclosure clause with defined materiality triggers and notice periods.
  • —Re-assessment protocol document defining triage criteria, assessment types, and responsible owners.
  • —Disclosure log tracking all model update notifications received, triage decisions, and re-assessment outcomes for the past 12 months.
  • —Evidence of control adjustments made in response to re-assessments where new risks were identified.

Implementation Notes

Why model updates require a distinct control

Existing vendor due diligence (PRC-001) and third-party model evaluation (PRC-003) are point-in-time assessments conducted at procurement. They assume the model being deployed is the model that was assessed. That assumption breaks when vendors silently update underlying models, retrain on new data, adjust safety filters, or release new versions that replace the assessed model without equivalent notice.

The risk is not theoretical. In 2024 and 2025, several major model providers updated live models in ways that materially changed capability and safety profiles, sometimes without explicit change notes or model card revisions. Organizations that had conducted prior assessments and built governance programs around assessed model behavior discovered their programs were governing a model they had never evaluated.

Defining "material update"

Vendor contracts should define materiality clearly. Suggested triggers for re-assessment disclosure:

  • New major or minor version released that replaces a live model the organization uses.
  • Safety evaluation results updated (changes in red-team findings from deliberate attack testing, chemical, biological, radiological, or nuclear (CBRN) weapons capability assessment, or bias evaluation).
  • Model card revised to reflect changes in training data, capability scope, or intended use.
  • Underlying base model (the core model a product is built on) changed (e.g., vendor's API product moves from one base model to another).
  • Input or output modalities (types of content, such as text, images, or audio) added or removed.
  • The vendor's built-in instructions (system prompt) or tool-use behavior (how the model uses connected software) changed in a way the organization cannot control through its own API settings.

Purely operational changes (latency (response speed) improvements, cost reductions, bug fixes without capability effect) should be explicitly carved out to avoid assessment fatigue.

Re-assessment protocol structure

When a disclosure is received:

  1. Triage (within 5 business days): The AI risk team reviews the disclosure and classifies the update as: no re-assessment required, lightweight re-assessment (desk review of what changed), or full re-assessment (new evaluation cycle).

  2. Lightweight re-assessment: Review updated model card, safety evaluation summary, and any published changelog (the vendor's record of changes). Confirm that the organization's existing controls remain valid given the described changes. Document findings and close.

  3. Full re-assessment: Repeat relevant portions of the original third-party model evaluation (PRC-003) for the updated model version. This is required when the change affects capabilities the organization relies on for safety or compliance purposes.

  4. Control adjustment: If re-assessment identifies new risks, update controls, usage policies, or deployment configurations accordingly before the updated model version goes live in the organization's environment.

Contractual requirements

The following should appear in AI vendor agreements:

  • Vendor will provide written notice of material model updates no less than [30/60/90] days before the update affects the live environment accessible to the organization.
  • Notice will include: version identifier, summary of changes, updated model card (or a comparison against the previous version), summary of safety evaluation results for the updated model.
  • Vendor will not retire an assessed model version from live use without providing sufficient notice for the organization to complete re-assessment of the replacement version.
  • Vendor will maintain a changelog accessible to enterprise customers documenting all model version changes.

Example Implementation

Model Update Disclosure Triage Log (excerpt)

Date receivedVendorModel versionChange descriptionTriage decisionRationaleRe-assessment ownerClosed date
2026-03-10AnthropicClaude 3.8 SonnetImproved coding performance; safety evals unchanged; model card revised to add coding benchmark resultsNo re-assessmentSafety profile unchanged; no new capabilities in scopeAI Risk Team2026-03-15
2026-04-22OpenAIGPT-5.5Extended context window (200k); new document analysis capability; updated red-team resultsLightweight re-assessmentNew capability (large doc analysis) within scope of existing deploymentJ. Reyes2026-05-06
2026-05-30MidVendorMV-Legal v3Base model changed from GPT-4o to internal model; model card replaced; safety evals not yet publishedFull re-assessmentBase model change without published safety evals; legal use case requires full evalExternal assessorIn progress

Model Update Disclosure Clause (contract language): Vendor shall provide Customer written notice no less than forty-five (45) days prior to any Material Model Update affecting Customer's production environment. "Material Model Update" means any change to: (a) model version or base model; (b) safety evaluation findings; (c) model card capability scope; or (d) system-level safety controls affecting model output. Notice shall include a version changelog, updated model card or diff, and summary of current safety evaluation results.

Control Details

Control ID
PRC-008
Typical owner
Chief Procurement Officer / Chief AI Officer / CISO
Implementation effort
Medium effort
Agent-relevant
No

Tags

model updatesvendor disclosurecapability changesre-assessmentvendor riskmodel cards

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