Governance Kernel Evidence Model

1. Purpose

The Governance Kernel Evidence Model defines how UPOS represents, evaluates, links, preserves, explains, and uses evidence across the ProductVerse.

Evidence is central to the Governance Kernel because governance decisions should not depend only on declarations, claims, policies, or trust labels. They must be grounded in verifiable support.

In UPOS, evidence is the basis for:

• trust,
• assurance,
• auditability,
• compliance,
• product maturity,
• publication readiness,
• lifecycle decisions,
• entitlement decisions,
• risk decisions,
• DPP validity,
• policy satisfaction,
• product relationship validation,
• product-to-product composition,
• marketplace trust displays,
• runtime and operational confidence.

The Evidence Model exists to answer questions such as:

• What evidence supports this product claim?
• Is the evidence current?
• Is the evidence authoritative?
• Is the evidence sufficient for the intended use?
• Which product version does the evidence apply to?
• Which policy requirement does the evidence satisfy?
• Which DPP claim is backed by the evidence?
• What evidence is required before publication?
• What evidence is missing?
• What evidence must be retained for audit?
• Can this evidence be shown to this consumer or agent?

The key principle is:

Evidence turns governance from assertion into assurance.

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2. Definition

Evidence is a governed artifact, record, signal, observation, attestation, measurement, test result, certification, audit finding, provenance record, or documented proof that supports, challenges, qualifies, or invalidates a product-related claim, governance decision, trust signal, risk state, entitlement, lifecycle event, or policy obligation.

Evidence may support claims such as:

• this product has an owner,
• this product has passed validation,
• this AI Product has been evaluated,
• this Data Product meets quality requirements,
• this Physical Product passed safety inspection,
• this Creative Product has redistribution rights,
• this DPP is complete,
• this output port is approved,
• this product is permitted for a purpose,
• this product relationship is allowed,
• this lifecycle transition is ready.

A basic evidence statement can be expressed as:

Evidence E supports Claim C
about Subject/Object O
within Scope S
for Purpose U
at Time T
under Authority A.

Example:

Model Evaluation Report E supports the claim
that AI Product P version 1.4 meets required performance thresholds
for advisory use
as of 2026-05-19
under Model Risk Authority M.

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3. Evidence as Governance State

In UPOS, evidence is not merely stored documentation.

Evidence is part of governance state.

Evidence may be:

• required by policy,
• referenced by DPP,
• evaluated by the Governance Kernel,
• rendered in PVEP,
• validated during PDEP lifecycle gates,
• enforced through Product Fabric,
• exposed as trust signals,
• linked in Product Graph,
• retained in audit records,
• used in risk and assurance decisions.

The Governance Kernel evaluates evidence to determine whether it is:

• present,
• missing,
• sufficient,
• insufficient,
• current,
• expired,
• authoritative,
• weak,
• disputed,
• invalidated,
• superseded,
• applicable,
• not applicable,
• restricted,
• confidential,
• publishable,
• audit-ready.

The principle is:

Evidence is not passive documentation. Evidence is an active input to governance decisions.

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4. What Evidence Is Not

4.1 Evidence Is Not a Claim

A claim is an assertion. Evidence supports or challenges the assertion.

Example:

Claim:
This product is approved for regulatory reporting.

Evidence:
Approval record, quality report, lineage record, DPP, and policy decision record.

4.2 Evidence Is Not Trust

Trust is an evidence-backed governance state. Evidence is the basis from which trust may be computed.

4.3 Evidence Is Not Policy

Policy states what must be true or what must be done. Evidence demonstrates whether the requirement has been satisfied.

4.4 Evidence Is Not Entitlement

Entitlement grants rights. Evidence may support why an entitlement was granted, denied, restricted, or revoked.

4.5 Evidence Is Not Metadata Alone

Metadata may describe evidence, but evidence must have evidentiary value. A timestamp or file name alone is not sufficient.

4.6 Evidence Is Not Always Public

Some evidence may be visible to consumers. Other evidence may be restricted to stewards, auditors, regulators, or governance agents.

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5. Evidence Objects

Evidence may attach to many ProductVerse objects.

Evidence object	Example evidence question
Product	What evidence supports this product’s trust posture?
Product version	Does this evidence apply to this exact version?
Output port	Is this output port approved and tested?
Product claim	What proof supports this claim?
Product relationship	What evidence supports this dependency or composition?
Product chain	Is the end-to-end chain traceable?
Product flow	Is this data, material, rights, or decision flow governed and observable?
DPP	Is the DPP complete and evidence-backed?
Policy obligation	What evidence shows this obligation is satisfied?
Entitlement	What approval, license, or subscription evidence supports this right?
Actor or agent	What evidence supports this actor’s authority?
Lifecycle event	What evidence supports publication, promotion, retirement, or certification?
Exception	What evidence supports this deviation from normal policy?

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6. Evidence Types

The Evidence Model supports multiple evidence types.

6.1 Identity Evidence

Evidence that establishes product, actor, steward, owner, provider, or agent identity.

Examples:

• product registry record,
• owner assignment,
• steward assignment,
• provider record,
• agent identity record,
• organizational authority record.

6.2 Quality Evidence

Evidence that supports quality claims.

Examples:

• data quality report,
• model performance evaluation,
• test result,
• availability report,
• freshness measurement,
• completeness check,
• defect report,
• benchmark result.

6.3 Lineage Evidence

Evidence that shows where a product or output came from.

Examples:

• lineage graph,
• transformation record,
• input product reference,
• source system record,
• provenance trail,
• product derivation record.

6.4 Provenance Evidence

Evidence that establishes origin, custody, derivation, or transformation history.

Examples:

• producer attestation,
• digital signature,
• source record,
• transformation log,
• content provenance metadata,
• chain-of-custody record.

6.5 Policy Evidence

Evidence that a policy requirement has been satisfied.

Examples:

• policy decision record,
• approval record,
• control execution record,
• compliance attestation,
• obligation completion record,
• permitted-use decision.

6.6 Entitlement Evidence

Evidence that a subject has a valid right.

Examples:

• access grant,
• subscription record,
• license acceptance,
• approval workflow record,
• delegation record,
• institutional mandate,
• marketplace acquisition record.

6.7 Risk Evidence

Evidence that supports risk classification or mitigation.

Examples:

• risk assessment,
• model risk review,
• safety assessment,
• impact assessment,
• threat model,
• operational risk review,
• mitigation record.

6.8 Trust Evidence

Evidence that supports trust state.

Examples:

• DPP,
• certification,
• audit report,
• maturity assessment,
• quality scorecard,
• incident history,
• assurance review,
• independent validation.

6.9 Lifecycle Evidence

Evidence that supports lifecycle transitions.

Examples:

• publication approval,
• release checklist,
• validation report,
• retirement impact assessment,
• deprecation notice,
• support readiness record,
• version approval.

6.10 Runtime Evidence

Evidence produced by runtime systems.

Examples:

• access logs,
• invocation logs,
• telemetry,
• availability metrics,
• error rates,
• policy enforcement logs,
• masking logs,
• audit logs,
• incident records.

6.11 Rights and License Evidence

Evidence that supports ownership, licensing, redistribution, derivative use, or commercial use rights.

Examples:

• license record,
• contract record,
• rights attestation,
• attribution record,
• copyright or ownership proof,
• redistribution approval.

6.12 Agent Authority Evidence

Evidence that supports agent permission or delegated authority.

Examples:

• authority profile,
• delegation record,
• supervisor assignment,
• permitted toolset,
• mandate record,
• autonomy boundary,
• revocation record.

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7. Evidence Claims

Evidence is meaningful because it supports claims.

A Claim is an assertion that may require evidence.

Examples:

• Product P is production-ready.
• Product P is approved for internal analytics.
• Product P may be used for external distribution.
• Product P has complete lineage.
• Product P has passed safety certification.
• Product P has valid DPP.
• Actor A has delegated authority.
• Output Port O is approved for production use.
• Relationship R is permitted.
• Product Chain C is traceable.
• Product Flow F is governed.

7.1 Claim-Evidence Binding

Evidence should be explicitly bound to claims.

Claim C
  supported by
Evidence E

This binding should include:

• evidence identifier,
• claim identifier,
• product or object scope,
• version scope,
• authority,
• timestamp,
• validity period,
• confidence,
• evidence status.

7.2 Unsupported Claims

A claim without sufficient evidence should be treated as:

• unsupported,
• provisional,
• unverified,
• under review,
• not trusted,
• blocked for high-risk use,
• visible with warning,
• not publishable,
• not marketplace-ready.

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8. Evidence Context

Evidence must be evaluated in context.

Context dimension	Description
Product	Product the evidence applies to.
Product version	Specific version covered by the evidence.
Product kind	Data, AI, software, physical, creative, governance, evidence, agent, etc.
Claim	Claim supported or challenged by the evidence.
Purpose	Intended use or governance purpose.
Actor	Who is relying on or requesting the evidence.
Authority	Who issued, approved, or owns the evidence.
Time	Evidence creation, validity, expiry, review date.
Jurisdiction	Legal, institutional, or regional scope.
Environment	Development, sandbox, production, mission-critical, external, regulated.
Relationship	Product dependency, composition, lineage, or flow being evidenced.
Visibility	Who is allowed to view the evidence or its summary.

Weak statement:

Evidence exists.

Better statement:

Evidence E supports Claim C for Product P version 2.1 for internal analytics in production until 2026-12-31.

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9. Evidence Quality

The Governance Kernel should evaluate the quality of evidence.

Important evidence quality attributes include:

Attribute	Meaning
Relevance	Evidence supports the claim being evaluated.
Completeness	Evidence covers all required aspects.
Freshness	Evidence is current enough for the purpose.
Authority	Evidence comes from an accepted authority.
Provenance	Origin and custody of evidence are known.
Integrity	Evidence has not been tampered with.
Version alignment	Evidence applies to the correct product version.
Scope alignment	Evidence applies to the correct purpose, jurisdiction, and environment.
Auditability	Evidence can be inspected or traced.
Specificity	Evidence is not overly generic.
Validity	Evidence is still valid.
Consistency	Evidence does not conflict with other evidence.

Evidence quality can affect trust posture, lifecycle gates, policy decisions, and marketplace visibility.

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10. Evidence Sufficiency

Evidence sufficiency determines whether available evidence is enough to satisfy a governance requirement.

10.1 Sufficiency Depends on Context

The evidence required for low-risk use may be minimal.

The evidence required for high-risk use may be extensive.

Examples:

Context	Evidence requirement
Internal preview	Basic product descriptor and owner assignment.
Internal analytics	Quality, lineage, entitlement, policy state.
Regulatory reporting	Quality, lineage, provenance, approval, audit evidence.
AI advisory use	Model evaluation, intended-use statement, risk assessment.
AI automated decisioning	Risk tier, evaluation, monitoring, explainability, human oversight evidence.
Physical safety use	Certification, inspection, maintenance, operational constraints.
External marketplace listing	DPP, license, ownership, support model, trust evidence.

10.2 Evidence Sufficiency Outcomes

Evidence evaluation may produce:

• sufficient,
• insufficient,
• partially sufficient,
• missing,
• expired,
• stale,
• not applicable,
• disputed,
• superseded,
• requires review,
• exception required.

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11. Evidence Status

Evidence should have lifecycle state.

Possible evidence statuses include:

• draft,
• submitted,
• under review,
• accepted,
• rejected,
• active,
• expired,
• revoked,
• superseded,
• disputed,
• invalidated,
• archived.

11.1 Evidence Lifecycle

Evidence Created
  → Submitted
  → Reviewed
  → Accepted / Rejected
  → Active
  → Refreshed / Superseded / Expired / Revoked
  → Archived

11.2 Evidence Expiry

Evidence may expire.

Examples:

• certification expires,
• model evaluation becomes stale,
• quality report becomes outdated,
• safety inspection needs renewal,
• entitlement approval expires,
• exception evidence expires.

The Governance Kernel should detect evidence expiry and emit governance signals.

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12. Evidence Record Structure

A structured evidence record may look like this:

evidenceId: ev-001
type: model-evaluation-report
title: AI Product Model Evaluation Report
status: active

subject:
  productId: product-ai-123
  productVersion: 1.4

supportsClaims:
  - claimId: claim-performance-threshold
  - claimId: claim-advisory-use

authority:
  owner: Model Risk Function
  reviewer: Independent Validation Team

scope:
  purposes:
    - advisory-use
  environments:
    - production
  jurisdictions:
    - EU
  outputPorts:
    - inference-api

validity:
  createdAt: 2026-01-15
  effectiveFrom: 2026-01-20
  expiresAt: 2026-07-20
  reviewDue: 2026-06-20

provenance:
  sourceSystem: model-validation-platform
  generatedBy: validation-job-456
  derivedFrom:
    - test-dataset-789
    - evaluation-protocol-111

integrity:
  checksum: sha256:...
  signature: sig-...

visibility:
  summaryVisibleTo:
    - consumers
  detailVisibleTo:
    - auditors
    - model-risk-reviewers

result:
  outcome: passed
  metrics:
    accuracy: 0.94
    recall: 0.91

audit:
  createdBy: user-123
  approvedBy: validator-456
  approvedAt: 2026-01-20

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13. Evidence and DPP

The Digital Product Passport is a key evidence aggregation and presentation artifact.

A DPP may:

• contain evidence,
• reference evidence,
• summarize evidence,
• link claims to evidence,
• expose trust posture,
• present permitted-use context,
• show evidence validity,
• indicate missing evidence,
• provide evidence provenance.

The Governance Kernel may evaluate DPP evidence to determine:

• DPP completeness,
• DPP validity,
• claim support,
• evidence freshness,
• trust posture,
• publication readiness,
• marketplace readiness,
• permitted-use confidence.

The principle is:

The DPP is a trust-bearing passport. Evidence is what makes the passport credible.

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14. Evidence and Trust

Evidence is the foundation of trust.

The Governance Kernel computes trust state by evaluating whether evidence is:

• present,
• relevant,
• current,
• authoritative,
• complete,
• sufficient,
• consistent,
• applicable to context.

Example:

Product P is trusted for internal analytics because:
- owner is assigned,
- DPP is valid,
- quality evidence is current,
- lineage evidence is complete,
- no critical exceptions are open.

Without evidence, trust becomes assertion.

The principle is:

Trust without evidence is only a claim.

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15. Evidence and Policy

Policies often require evidence.

Examples:

Publication Policy:
Product may be published only if DPP is complete and owner is assigned.

AI Safety Policy:
High-risk AI Product requires current evaluation evidence and human oversight evidence.

Data Quality Policy:
Data Product requires freshness and completeness evidence before regulatory use.

The Governance Kernel evaluates whether evidence satisfies policy requirements.

Policy states what must be proven. Evidence helps prove it.

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16. Evidence and Risk

Evidence can reduce, increase, or qualify risk.

Examples:

• current evaluation evidence may reduce uncertainty,
• missing lineage may increase risk,
• expired safety inspection may raise operational risk,
• incident evidence may trigger risk escalation,
• strong controls evidence may permit conditional use.

Evidence does not eliminate risk automatically.

The Governance Kernel should evaluate evidence alongside risk, not replace risk analysis with evidence presence.

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17. Evidence and Entitlement

Entitlement decisions may require evidence.

Examples:

• approval evidence supports access grant,
• license acceptance evidence supports usage right,
• delegated authority evidence supports agent entitlement,
• subscription evidence supports marketplace entitlement,
• emergency authorization evidence supports temporary access.

Entitlement without evidence may be weak or unauditable.

Example:

Agent A may invoke Product P because Delegation Record D grants scoped authority until Date T.

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18. Evidence and Lifecycle

PDEP uses evidence during product lifecycle transitions.

Evidence may be required for:

• product creation,
• validation,
• approval,
• publication,
• marketplace listing,
• output port activation,
• version promotion,
• deprecation,
• retirement,
• recertification.

Example:

Product may not be published because required evidence is missing:
- owner assignment,
- DPP completion,
- quality validation,
- support model approval.

Lifecycle gates should be evidence-aware.

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19. Evidence and Product Relationships

Evidence may support product relationships.

Examples:

• dependency evidence,
• composition evidence,
• lineage evidence,
• provenance evidence,
• entitlement evidence,
• trust relationship evidence,
• substitute relationship evidence,
• bundle membership evidence,
• product-to-product consumption evidence.

Relationship evidence is important because products are recursive.

Example:

Product A is composed from Product B and Product C.
Evidence E shows the composition was approved, restrictions were inherited, and the resulting product passed validation.

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20. Evidence and Product Graph

The Product Graph may expose evidence relationships.

Examples:

Product A
  evidenced by
Evidence Record B

Claim C
  supported by
Evidence Record D

DPP E
  references
Evidence Record F

Product Relationship G
  validated by
Evidence Record H

Policy I
  requires
Evidence Type J

The Product Graph makes evidence navigable. The Governance Kernel evaluates evidence state.

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21. Evidence and PVEP

PVEP renders evidence state in consumer- and agent-usable form.

PVEP may show:

• evidence summary,
• DPP evidence view,
• quality evidence status,
• lineage evidence status,
• certification status,
• missing evidence warnings,
• evidence freshness,
• evidence owner,
• evidence visibility level,
• trust explanation,
• policy satisfaction status.

PVEP should not expose evidence beyond the consumer’s permission.

The principle is:

PVEP renders evidence state. The Governance Kernel evaluates evidence state.

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22. Evidence Visibility

Evidence may have different visibility levels.

Examples:

Visibility level	Description
Public	Visible to anyone.
Marketplace summary	Visible in product listing or marketplace detail.
Consumer summary	Visible to entitled consumers.
Steward detail	Visible to product stewards.
Auditor detail	Visible to audit or assurance actors.
Regulator detail	Visible to regulatory actors.
Restricted	Visible only under approval.
Confidential	Visible only to privileged authorities.
Machine-readable only	Available to authorized systems or agents.

Evidence visibility must respect policy, entitlement, confidentiality, privacy, and regulatory constraints.

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23. Evidence and Product Fabric

Product Fabric may use evidence-derived governance state to enforce controls.

Examples:

• block runtime access when evidence expires,
• require audit logging when evidence is incomplete,
• disable external sharing when rights evidence is missing,
• require masking when privacy evidence is insufficient,
• prevent product invocation when certification is expired,
• restrict AI agent tool use when authority evidence is missing.

The Governance Kernel evaluates evidence. Product Fabric operationalizes evidence-derived decisions.

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24. Evidence and Marketplace

Marketplaces may display evidence-backed trust summaries.

Examples:

• DPP valid,
• certified,
• quality verified,
• license verified,
• safety inspected,
• evaluation complete,
• evidence incomplete,
• external use not verified,
• publication blocked.

Marketplace evidence display should be concise but traceable.

The principle is:

Marketplace claims should be evidence-backed, not marketing-backed.

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25. Evidence and Agents

Agents require evidence in two ways.

25.1 Evidence About Products

Agents may need machine-readable evidence to decide whether a product is fit for a purpose.

Example:

AI procurement agent evaluates product DPP, license evidence, trust posture, and entitlement state before recommending a product.

25.2 Evidence About Agent Authority

Agents themselves require evidence of authority.

Examples:

• delegation record,
• authority profile,
• permitted tool list,
• supervisor assignment,
• audit mandate,
• revocation status.

The principle is:

An agent should not act without evidence of authority and evidence about the product it is acting upon.

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26. Evidence Gaps

An Evidence Gap exists when required evidence is missing, insufficient, expired, invalid, or not applicable to the requested context.

Evidence gaps may affect:

• trust state,
• publication readiness,
• marketplace listing,
• entitlement decisions,
• access decisions,
• product composition,
• lifecycle transitions,
• runtime invocation,
• audit readiness.

26.1 Evidence Gap Example

Product P cannot be published because:
- DPP is incomplete,
- quality evidence is missing,
- support model evidence is absent,
- owner approval evidence is pending.

26.2 Evidence Gap Outcomes

Evidence gaps may result in:

• block,
• warning,
• conditional allow,
• approval required,
• exception required,
• evidence request,
• trust downgrade,
• lifecycle gate failure,
• marketplace visibility restriction.

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27. Evidence Freshness and Expiry

Evidence freshness matters.

A quality report from two years ago may not support current product claims. A safety certification may expire. A model evaluation may become stale after material model change. A license record may be superseded. A DPP may no longer match the product version.

The Governance Kernel should track:

• evidence creation date,
• effective date,
• expiry date,
• review date,
• supersession,
• product version alignment,
• policy version alignment.

Freshness should be evaluated relative to use context.

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28. Evidence Integrity and Provenance

Evidence should have integrity and provenance.

Important attributes include:

• source system,
• creator,
• reviewer,
• approver,
• generation process,
• derivation inputs,
• checksum,
• signature,
• custody trail,
• modification history,
• approval history,
• audit trail.

The stronger the evidence integrity and provenance, the stronger the assurance value.

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29. Evidence Observability

Evidence state should be observable.

Useful metrics include:

• evidence completeness rate,
• evidence freshness rate,
• expired evidence count,
• missing evidence count,
• disputed evidence count,
• evidence review backlog,
• evidence approval latency,
• evidence gap rate by product kind,
• evidence gap rate by domain,
• DPP evidence completeness,
• publication blocks due to evidence,
• access denials due to evidence,
• trust downgrades due to evidence,
• runtime blocks due to evidence expiry,
• evidence visibility requests,
• evidence exception count.

Evidence observability helps maintain ProductVerse trust.

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30. Security and Control Considerations

Evidence may be sensitive.

Important controls include:

• evidence access control,
• evidence integrity protection,
• evidence tamper detection,
• evidence versioning,
• evidence retention,
• evidence redaction,
• confidential evidence handling,
• audit logging,
• separation of duties,
• approval workflows,
• evidence deletion controls,
• regulator access controls,
• secure evidence APIs,
• protection against forged evidence,
• provenance validation,
• evidence lifecycle governance.

A compromised evidence system can corrupt trust, policy, risk, entitlement, and lifecycle decisions.

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31. Design Guidance

31.1 Bind Evidence to Claims

Evidence should explicitly support specific claims.

31.2 Make Evidence Contextual

Evidence must be evaluated for product, version, purpose, environment, jurisdiction, and time.

31.3 Distinguish Evidence Presence from Sufficiency

Having evidence does not mean having enough evidence.

31.4 Keep Evidence Versioned

Evidence must align with product versions, policy versions, and DPP versions.

31.5 Make Evidence Traceable

Evidence should have provenance, integrity, authority, and audit trail.

31.6 Make Evidence Visible at the Right Level

Consumers may need evidence summaries, while auditors may need detailed records.

31.7 Use Evidence to Power Trust

Trust signals should derive from evidence, not manual declarations.

31.8 Design for Evidence Gaps

The system should identify missing, expired, insufficient, or disputed evidence.

31.9 Support Machine-Readable Evidence

Agents and applications need structured evidence state, not only human-readable documents.

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32. Anti-Patterns

32.1 Evidence as Attachment Dump

A folder of documents is not an evidence model.

32.2 Claim Without Evidence

Claims should not be treated as trusted unless supported by evidence.

32.3 Evidence Without Scope

Evidence that does not specify what product, version, purpose, or claim it supports is weak.

32.4 Evidence Without Provenance

Evidence without origin, authority, or custody cannot provide strong assurance.

32.5 Evidence Without Expiry

Evidence should not be treated as permanently valid by default.

32.6 Evidence Hidden from All Consumers

Consumers need at least an appropriate evidence summary to make trust decisions.

32.7 Evidence as Trust Badge

Trust badges must be derived from evaluated evidence, not manually applied.

32.8 Evidence Not Linked to Policy

Policy obligations should specify what evidence satisfies them.

32.9 Evidence Not Machine-Readable

Human-readable documents alone are insufficient for agentic and automated governance.

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33. Summary

The Governance Kernel Evidence Model defines how UPOS represents and evaluates evidence across the ProductVerse.

Evidence is the governed artifact, record, signal, observation, attestation, measurement, test result, certification, audit finding, provenance record, or documented proof that supports, qualifies, or challenges product-related claims and governance decisions.

Evidence is central to:

• trust,
• policy satisfaction,
• risk evaluation,
• entitlement decisions,
• DPP validity,
• lifecycle gates,
• marketplace trust,
• product graph relationships,
• product composition,
• runtime enforcement,
• auditability.

Evidence must be contextual, claim-bound, version-aware, time-aware, authority-backed, provenance-rich, integrity-protected, visibility-controlled, and machine-readable where needed.

In short:

The Governance Kernel Evidence Model turns product claims into evidence-backed assurance for the ProductVerse.