TG-ATTC-2
TrustGate - Signal Attestation Catalog 2
Canonical Trust Attestation Specification
Part 8 — Runtime Architecture
Runtime generation, orchestration, execution flow, telemetry, and operational architecture for TrustGate Attestations.
128. Purpose
The Runtime Architecture defines how TrustGate Attestations (TG-ATTEST) are generated, orchestrated, verified, and published during operational execution.
Unlike previous chapters, which define the constitutional model, this chapter describes the runtime behavior of the TrustGate attestation pipeline.
Runtime behavior shall always remain consistent with the constitutional requirements defined throughout this specification.
129. Architectural Principles
Runtime execution shall:
- remain deterministic;
- preserve canonical lineage;
- produce immutable artifacts;
- generate complete telemetry;
- remain fully replayable.
Runtime implementation details may evolve without altering the constitutional attestation model.
130. Runtime Components
The canonical runtime architecture consists of the following logical components.
Signal
↓
Validation Engine
↓
Validation Result
↓
Evidence Collection
↓
Trust Evaluation
↓
Attestation Builder
↓
Cryptographic Signing
↓
Publication
↓
Federation
↓
Telemetry
Each component has a single constitutional responsibility.
131. Runtime Inputs
Attestation generation consumes one or more runtime inputs.
Typical inputs include:
- CSI;
- CMID;
- CMI;
- USO;
- VRID;
- TG-VRES;
- TG-VEVID;
- TOID;
- TVID;
- governance decisions.
Runtime inputs remain external to the attestation.
132. Attestation Builder
The Attestation Builder assembles the canonical TG-ATTEST.
Responsibilities include:
- collecting references;
- constructing canonical structure;
- validating completeness;
- preparing canonical serialization.
The builder does not perform cryptographic signing.
133. Cryptographic Signing
After successful construction, the attestation is submitted for signing.
Signing performs:
- digest generation;
- digital signature creation;
- signature metadata generation;
- trust anchor association.
Successful signing produces a publishable artifact.
134. Publication
Publication creates the canonical TG-ATTEST.
Publication assigns:
- TAID;
- publication timestamp;
- issuer metadata;
- lifecycle state;
- operational status.
Published attestations become immutable.
135. TG-AEVENT — TrustGate Attestation Event
During runtime, TrustGate generates operational attestation events.
The canonical runtime event artifact is:
TG-AEVENT
TG-AEVENT records:
- attestation generation;
- signing;
- publication;
- federation;
- verification;
- revocation;
- replay verification.
TG-AEVENT is operational telemetry.
It is not a published attestation.
136. Runtime Orchestration
Attestation generation may be orchestrated by one or more TrustGate Engines.
Typical orchestration stages include:
- Validation completed.
- Evidence assembled.
- Trust computed.
- Attestation constructed.
- Signature applied.
- Publication approved.
- Federation initiated.
- Telemetry recorded.
Execution order shall remain deterministic.
137. Runtime Telemetry
Every attestation lifecycle operation generates telemetry.
Telemetry includes:
- execution timestamps;
- processing duration;
- responsible component;
- execution outcome;
- warning conditions;
- failure classifications.
Telemetry supports monitoring but does not modify canonical artifacts.
138. Runtime Failures
Runtime failures may occur before publication.
Examples include:
- incomplete lineage;
- missing evidence;
- invalid signatures;
- failed validation;
- governance rejection;
- invariant violations.
Failed runtime execution shall never create published TG-ATTEST artifacts.
139. Retry Model
Runtime failures may be retried when appropriate.
Retries shall preserve:
- lineage;
- execution history;
- explainability.
Retries shall never overwrite successful published attestations.
140. Runtime Explainability
Every runtime execution shall expose explainability.
Explainability includes:
- execution stages;
- participating engines;
- generated references;
- validation outcomes;
- signing results;
- publication decisions.
Runtime execution shall never become opaque.
141. Runtime State
Runtime state remains transient.
Persistent information shall be recorded only through canonical artifacts and governed telemetry.
Temporary execution state shall not become constitutional data.
142. Runtime Scalability
The runtime architecture shall support:
- parallel execution;
- distributed processing;
- asynchronous publication;
- high-volume federation;
- large-scale replay.
Scalability shall not compromise determinism.
143. Runtime Observability
Operational observability includes:
- telemetry dashboards;
- execution tracing;
- performance metrics;
- error monitoring;
- publication monitoring;
- federation monitoring.
Observability complements assurance but does not replace it.
144. Constitutional Principles
The Runtime Architecture is governed by the following principles.
- Runtime produces canonical artifacts.
- Runtime shall remain deterministic.
- Runtime telemetry is immutable.
- Runtime failures shall remain explainable.
- Published attestations remain immutable.
- Runtime execution shall preserve lineage.
- Runtime state shall remain transient.
- Runtime shall support replay.
These principles are normative.
145. Relationship to the ZAYAZ Architecture
The Runtime Architecture integrates directly with:
| Component | Relationship |
|---|---|
| TrustGate Validation Rule Registry | Validation execution |
| TrustGate Trust Model | Trust computation |
| TrustGate Replay Specification | Replay generation |
| TrustGate Federation Profiles | Federation publication |
| Canonical Identifier Architecture (CIA) | Identity preservation |
| Canonical Artifact Lifecycle Model (CALM) | Lifecycle transitions |
| Canonical Invariant Registry (CIR) | Runtime enforcement |
| Distributed Assurance Ledger (DAL) | Integrity anchoring |
| TrustGate Telemetry | Operational monitoring |
| DSAIL | AI-assisted runtime optimization |
146. Summary
The Runtime Architecture defines the operational execution model for TrustGate Attestations.
By separating transient runtime behavior from immutable canonical artifacts, introducing TG-AEVENT as the runtime telemetry artifact, preserving deterministic execution, and ensuring complete observability and replay compatibility, the architecture provides a scalable and governed foundation for producing trustworthy attestations across the ZAYAZ ecosystem.
Part 9 — AI & Trust Intelligence
Canonical AI interaction model, Trust Intelligence generation, explainability, governance, and continuous learning for TrustGate Attestations.
147. Purpose
The AI & Trust Intelligence model defines how TrustGate Attestations (TG-ATTEST) interact with DSAIL and the Trust Intelligence framework.
Attestations provide deterministic assurance.
Trust Intelligence provides explainable insight.
Together they enable continuous improvement while preserving constitutional governance.
148. Architectural Principles
Artificial Intelligence shall augment—not replace—canonical trust.
AI may:
- interpret;
- classify;
- recommend;
- predict;
- explain.
AI shall never modify published Trust Attestations.
The canonical assurance artifact always remains the published TG-ATTEST.
149. Relationship Between Trust and Intelligence
TrustGate distinguishes between assurance and intelligence.
Evidence
↓
Validation
↓
TG-VRES
↓
TG-ATTEST
↓
TG-INTEL
↓
Decision Support
Attestation certifies trust.
Trust Intelligence interprets trust.
150. Trust Intelligence Generation
DSAIL may generate one or more Trust Intelligence Objects (TG-INTEL) from one or more published Trust Attestations.
Typical intelligence includes:
- confidence interpretation;
- anomaly detection;
- behavioural analysis;
- trend analysis;
- predictive trust;
- federation insights;
- governance recommendations.
TG-INTEL shall always reference the originating TAID.
151. AI Explainability
Every AI-generated Trust Intelligence Object shall remain explainable.
Explainability includes:
- originating attestation(s);
- contributing evidence;
- model identifier;
- model version;
- inference timestamp;
- confidence metrics;
- reasoning summary.
Opaque AI decisions are prohibited.
152. Learning Feedback
Learning systems may observe:
- validation outcomes;
- replay outcomes;
- governance decisions;
- federation behaviour;
- operational telemetry.
Observed information may improve future Trust Intelligence models.
Learning shall never rewrite historical Trust Attestations.
153. Predictive Trust
Predictive Trust estimates future trust conditions using historical observations.
Examples include:
- declining supplier reliability;
- increasing validation failures;
- policy compliance trends;
- elevated federation risk;
- deteriorating evidence quality.
Predictions remain advisory.
They do not constitute assurance.
154. Trust Drift
Trust Drift represents measurable changes in trust characteristics over time.
Examples include:
- decreasing validation success;
- increasing replay deviations;
- evidence degradation;
- governance instability;
- federation inconsistency.
Trust Drift may generate TG-INTEL objects for governance review.
155. Adaptive Intelligence
DSAIL may continuously improve intelligence models.
Adaptive learning shall preserve:
- reproducibility;
- governance;
- explainability;
- model lineage.
Adaptive learning shall never invalidate historical attestations.
156. Model Governance
Every AI model participating in Trust Intelligence shall expose governance metadata.
Required information includes:
- model identifier;
- model version;
- training lineage;
- approval authority;
- deployment date;
- operational status.
Models shall be governed independently of attestations.
157. Model Lineage
Trust Intelligence shall preserve complete model lineage.
Model lineage includes:
- training datasets;
- feature lineage;
- algorithm version;
- configuration;
- governance approvals;
- deployment history.
Lineage enables explainable AI and reproducible intelligence.
158. Continuous Assurance
Continuous Assurance combines deterministic assurance with adaptive intelligence.
Validation
↓
Attestation
↓
Replay
↓
Trust Intelligence
↓
Governance
↓
Continuous Improvement
Each stage strengthens confidence without replacing deterministic verification.
159. AI Risk Management
Trust Intelligence shall identify AI-related operational risks.
Examples include:
- model drift;
- confidence degradation;
- insufficient evidence;
- prediction instability;
- governance violations.
Risk identification shall remain explainable.
160. Human Oversight
Human governance remains constitutionally authoritative.
AI may:
- recommend;
- prioritise;
- explain;
- analyse.
AI shall not independently:
- publish attestations;
- revoke attestations;
- approve governance decisions;
- override constitutional invariants.
161. Federation Intelligence
Trust Intelligence may aggregate information across federated ZAYAZ Domains where permitted by federation policies.
Federated intelligence may identify:
- ecosystem trends;
- sector-wide anomalies;
- supply chain risks;
- assurance patterns;
- emerging regulatory concerns.
Federated intelligence shall preserve privacy and jurisdictional constraints.
162. Constitutional Principles
The AI & Trust Intelligence model is governed by the following principles.
- AI augments trust.
- AI never replaces assurance.
- Published attestations remain immutable.
- TG-INTEL shall remain explainable.
- Model lineage shall be preserved.
- Predictions are advisory.
- Human governance remains authoritative.
- AI shall comply with constitutional invariants.
These principles are normative.
163. Relationship to the ZAYAZ Architecture
The AI & Trust Intelligence model integrates directly with:
| Component | Relationship |
|---|---|
| TrustGate Trust Model | Trust computation |
| TG-INTEL Registry | Intelligence persistence |
| TrustGate Validation Rule Registry | Validation analytics |
| TrustGate Replay Specification | Replay analytics |
| TrustGate Federation Profiles | Cross-domain intelligence |
| Canonical Identifier Architecture (CIA) | Identifier lineage |
| Canonical Artifact Lifecycle Model (CALM) | Lifecycle governance |
| Canonical Invariant Registry (CIR) | Constitutional enforcement |
| DSAIL | AI execution and learning |
| Distributed Assurance Ledger (DAL) | Integrity verification |
164. AI Explainability Contract
Every Trust Intelligence Object shall expose an explainability contract.
The contract shall include:
- originating TAID;
- contributing TG-VRES identifiers;
- contributing TG-VEVID identifiers;
- contributing TOIDs and TVIDs (where applicable);
- model identifier;
- model version;
- inference timestamp;
- confidence score;
- reasoning summary;
- constitutional constraints evaluated.
The Explainability Contract enables independent review, replay, and governance of AI-generated intelligence.
165. Summary
The AI & Trust Intelligence model defines the constitutional relationship between deterministic assurance and adaptive intelligence within the TrustGate architecture.
By separating immutable Trust Attestations from explainable Trust Intelligence Objects, preserving complete lineage, governing AI models independently, and enforcing human oversight, the model enables continuous learning without compromising trust.
TrustGate therefore provides a dual assurance model:
- TG-ATTEST establishes what can be trusted.
- TG-INTEL explains what that trust means and how it evolves.
Together they create a transparent, replayable, explainable, and continuously improving assurance ecosystem for the global ZAYAZ platform.
Part 10 — Persistence, SQL & APIs
Canonical persistence architecture, SQL registry model, API contracts, and implementation relationships for TrustGate Attestations.
166. Purpose
The Persistence, SQL & APIs model defines how TrustGate Attestations are stored, indexed, queried, governed, and exchanged through canonical platform interfaces.
Persistence shall preserve:
- TAID identity;
- attestation immutability;
- cryptographic integrity;
- validation references;
- evidence lineage;
- replay compatibility;
- federation status;
- governance lifecycle.
167. Persistence Architecture
TrustGate Attestation persistence consists of three layers.
Registry Layer
↓
Relationship Layer
↓
Runtime / Telemetry Layer
The registry stores canonical attestation artifacts.
Relationship tables link attestations to validation, evidence, trust, replay, DAL, federation, and AI artifacts.
Runtime telemetry records operational events without modifying published attestations.
168. Recommended Core Registry
The canonical attestation registry should be implemented as:
zar.trust_attestation_registry
This table stores published TG-ATTEST artifacts and their governance metadata.
169. Recommended SQL — zar.trust_attestation_registry
create table if not exists zar.trust_attestation_registry (
taid text primary key, -- TAID-ZYZ-000000000001
attestation_type text not null,
canonical_name text not null,
description text,
issuer_eco_number text,
issuer_zayaz_domain text,
subject_eco_number text,
subject_type text not null,
subject_identifier text not null,
assurance_level text,
lifecycle_state text not null default 'draft',
operational_status text not null default 'active',
schema_version text not null default '1.0.0',
attestation_version text not null default '1.0.0',
source_vrids text[] default '{}',
source_vres_ids text[] default '{}',
source_vevid_ids text[] default '{}',
source_tg_val_ids text[] default '{}',
source_toids text[] default '{}',
source_tvids text[] default '{}',
source_usos text[] default '{}',
source_csis text[] default '{}',
source_cmids text[] default '{}',
cryptographic_hash text,
hash_algorithm text,
signature_payload jsonb,
signature_algorithm text,
signing_key_ref text,
trust_anchor_ref text,
dal_anchor text,
replay_profile_ref text,
federation_profile_ref text,
explainability jsonb not null default '{}'::jsonb,
lineage_metadata jsonb not null default '{}'::jsonb,
governance_metadata jsonb not null default '{}'::jsonb,
published_at timestamptz,
superseded_by_taid text,
revoked_at timestamptz,
revocation_reason text,
archived_at timestamptz,
created_by text,
approved_by text,
approved_at timestamptz,
created_at timestamptz not null default now(),
updated_at timestamptz not null default now(),
constraint trust_attestation_type_chk
check (attestation_type in (
'ATT-VAL',
'ATT-REP',
'ATT-EVD',
'ATT-POL',
'ATT-TRUST',
'ATT-GOV',
'ATT-FED',
'ATT-DAL',
'ATT-AI'
)),
constraint trust_attestation_lifecycle_chk
check (lifecycle_state in (
'draft',
'under_review',
'approved',
'published',
'operational',
'superseded',
'revoked',
'archived'
)),
constraint trust_attestation_status_chk
check (operational_status in (
'active',
'suspended',
'restricted',
'deprecated',
'invalid'
)),
constraint trust_attestation_assurance_level_chk
check (assurance_level is null or assurance_level in (
'AL1',
'AL2',
'AL3',
'AL4',
'AL5'
))
);
170. Recommended Indexes
create index if not exists idx_trust_attestation_type
on zar.trust_attestation_registry(attestation_type);
create index if not exists idx_trust_attestation_subject
on zar.trust_attestation_registry(subject_type, subject_identifier);
create index if not exists idx_trust_attestation_issuer_eco
on zar.trust_attestation_registry(issuer_eco_number);
create index if not exists idx_trust_attestation_subject_eco
on zar.trust_attestation_registry(subject_eco_number);
create index if not exists idx_trust_attestation_lifecycle
on zar.trust_attestation_registry(lifecycle_state);
create index if not exists idx_trust_attestation_status
on zar.trust_attestation_registry(operational_status);
create index if not exists idx_trust_attestation_source_vrids
on zar.trust_attestation_registry using gin(source_vrids);
create index if not exists idx_trust_attestation_source_vres
on zar.trust_attestation_registry using gin(source_vres_ids);
create index if not exists idx_trust_attestation_source_toids
on zar.trust_attestation_registry using gin(source_toids);
create index if not exists idx_trust_attestation_source_tvids
on zar.trust_attestation_registry using gin(source_tvids);
171. Table Description
Recommended table comment:
comment on table zar.trust_attestation_registry is
'Canonical registry of TrustGate Attestations (TG-ATTEST). Stores immutable signed assurance artifacts identified by TAID, including validation references, evidence lineage, cryptographic metadata, replay compatibility, federation metadata, governance lifecycle, and explainability.';
172. Relationship to Telemetry
Attestation runtime events shall be recorded in:
zar.trustgate_telemetry_event
Telemetry event types may include:
attestation.created
attestation.review.started
attestation.approved
attestation.signed
attestation.published
attestation.verified
attestation.federated
attestation.superseded
attestation.revoked
attestation.archived
Telemetry records operational behavior.
The attestation registry preserves canonical published artifacts.
173. Relationship to Trust Intelligence
TG-INTEL may reference one or more TAIDs.
This enables Trust Intelligence to explain:
- attestation quality;
- issuer reliability;
- replay confidence;
- federation trust;
- evidence completeness;
- anomaly detection.
TG-INTEL interprets attestations but does not modify them.
174. API — Resolve Attestation
GET /api/trustgate/attestations/{taid}
Returns the canonical TG-ATTEST artifact and metadata.
175. API — Verify Attestation
POST /api/trustgate/attestations/{taid}/verify
Verification should check:
- TAID integrity;
- signature validity;
- hash integrity;
- issuer trust;
- lineage completeness;
- replay compatibility.
176. API — Publish Attestation
POST /api/trustgate/attestations
Creates a governed attestation publication request.
Publication shall require approval where policy demands it.
177. API — Revoke Attestation
POST /api/trustgate/attestations/{taid}/revoke
Revocation creates a new governance event.
It shall not delete or modify the original published attestation.
178. API — Search Attestations
GET /api/trustgate/attestations
Recommended filters:
- attestation type;
- issuer E-C-O Number;
- subject E-C-O Number;
- subject identifier;
- lifecycle state;
- operational status;
- assurance level;
- federation profile;
- DAL anchor;
- date range.
179. API — Federation Export
POST /api/trustgate/attestations/{taid}/federation-export
Produces an export-ready attestation representation for federation packaging.
Transport is handled by EGFS.
180. API — Replay Verification
POST /api/trustgate/attestations/{taid}/replay
Requests deterministic replay verification of the attestation lineage.
181. API Design Principles
Attestation APIs shall be:
- identifier-first;
- read-optimized;
- replay-aware;
- federation-ready;
- explainability-enabled;
- governance-controlled;
- immutable by default.
Write operations shall occur only through governed workflows.
182. Persistence Invariants
TGATT-PERSIST-001
Every published TG-ATTEST shall have exactly one TAID.
TGATT-PERSIST-002
TAIDs shall never be reused.
TGATT-PERSIST-003
Published attestations shall not be modified in place.
TGATT-PERSIST-004
Revocation shall preserve historical attestation records.
TGATT-PERSIST-005
Every production attestation shall preserve validation lineage.
TGATT-PERSIST-006
Every production attestation shall preserve cryptographic metadata.
TGATT-PERSIST-007
Federation export shall never regenerate TAIDs.
TGATT-PERSIST-008
Attestation APIs shall preserve explainability.
183. Relationship to the ZAYAZ Architecture
The Persistence, SQL & APIs model integrates directly with:
| Component | Relationship |
|---|---|
| ZAR | Canonical persistence layer |
| CIA | Identifier governance |
| CIR | Persistence invariants |
| CALM | Lifecycle semantics |
| TrustGate Validation Rule Registry | Validation references |
| TrustGate Trust Model | Trust Object and Trust Vector links |
| TrustGate Replay Specification | Replay verification |
| TrustGate Federation Profiles | Federation export |
| EGFS | Transport |
| DAL | Ledger anchoring |
| DSAIL | Trust Intelligence |
184. Summary
The Persistence, SQL & APIs model defines the implementation contract for TrustGate Attestations.
By introducing zar.trust_attestation_registry, preserving immutable TAIDs, storing cryptographic metadata, linking validation and trust artifacts, and exposing governance-controlled APIs, the model ensures that every TG-ATTEST remains searchable, verifiable, replayable, federatable, explainable, and suitable for long-term assurance.
Part 11 — Conformance & Reference Invariants
Conformance requirements, constitutional invariants, and implementation profiles for TrustGate Attestations.
185. Purpose
This chapter defines the conformance requirements for implementations of the TrustGate Attestation Catalog.
Rather than duplicating constitutional rules defined elsewhere, this chapter identifies the invariant families that govern TrustGate Attestations and specifies the minimum implementation requirements for conformance.
The Canonical Invariant Registry (CIR) is the normative source for all invariant definitions.
186. Constitutional Governance
Every TrustGate Attestation implementation shall comply with the constitutional frameworks of the ZAYAZ platform.
These include:
- Canonical Identifier Architecture (CIA)
- Canonical Artifact Lifecycle Model (CALM)
- Canonical Invariant Registry (CIR)
- TrustGate Trust Model
- TrustGate Validation Rule Registry
- TrustGate Replay Specification
- TrustGate Federation Profiles
No implementation-specific optimization may violate constitutional invariants.
187. Invariant Domains
The following invariant domains govern TG-ATTEST.
| Domain | Purpose |
|---|---|
| Identifier | TAID uniqueness and immutability |
| Lifecycle | CALM lifecycle consistency |
| Validation | Validation lineage completeness |
| Evidence | Evidence integrity |
| Cryptography | Signature and hash verification |
| Replay | Deterministic replay |
| Federation | Cross-domain exchange |
| Governance | Approval and publication |
| Intelligence | AI explainability |
| Persistence | Registry integrity |
Each domain is defined normatively within the Canonical Invariant Registry.
188. Required Invariant Families
Every implementation shall satisfy the following invariant families.
| Prefix | Invariant Family |
|---|---|
| CIA-* | Identifier Architecture |
| CALM-* | Lifecycle Governance |
| CIR-* | Constitutional Rules |
| TGATT-* | Attestation Catalog |
| TGTRUST-* | Trust Model |
| TGVAL-* | Validation Registry |
| TGRPL-* | Replay Specification |
| TGFED-* | Federation Profiles |
| TGINTEL-* | Trust Intelligence |
| DAL-* | Distributed Assurance Ledger |
Additional invariant families may be introduced in future versions without invalidating existing implementations.
189. Mandatory Attestation Requirements
A conforming implementation shall ensure that every published TG-ATTEST:
- possesses exactly one TAID;
- is immutable after publication;
- preserves complete computational lineage;
- references governed validation artifacts;
- supports deterministic replay;
- remains cryptographically verifiable;
- exposes explainability metadata;
- supports federation;
- complies with constitutional governance.
These requirements are mandatory.
190. Identifier Conformance
Attestation identifiers shall comply with the Canonical Identifier Architecture.
Requirements include:
- globally unique TAIDs;
- immutable identity;
- deterministic references;
- identifier preservation during federation;
- identifier preservation during replay.
Identifier generation algorithms are defined separately by CIA.
191. Lifecycle Conformance
Lifecycle transitions shall comply with CALM.
Implementations shall prohibit:
- invalid state transitions;
- lifecycle regression;
- deletion of published attestations;
- modification of historical publications.
Lifecycle history shall remain auditable.
192. Cryptographic Conformance
Production implementations shall support:
- canonical serialization;
- cryptographic hashing;
- digital signatures;
- signature verification;
- long-term verification;
- algorithm agility.
Specific cryptographic algorithms are implementation choices provided constitutional guarantees are preserved.
193. Replay Conformance
Replay implementations shall preserve:
- TAIDs;
- validation lineage;
- evidence references;
- governance decisions;
- cryptographic integrity.
Replay shall reproduce historical assurance without altering historical artifacts.
194. Federation Conformance
Federated implementations shall:
- verify incoming attestations;
- preserve TAIDs;
- preserve signatures;
- preserve explainability;
- preserve replay compatibility.
Federation shall not modify published attestations.
195. AI Conformance
AI-assisted Trust Intelligence shall:
- reference originating TAIDs;
- remain explainable;
- preserve model lineage;
- preserve governance;
- avoid modifying published attestations.
AI augments assurance.
AI does not replace assurance.
196. Operational Conformance Levels
TrustGate implementations may claim one or more conformance profiles.
TrustGate Core
Supports:
- TG-ATTEST generation;
- identifier governance;
- lifecycle governance;
- persistence.
TrustGate Enterprise
Adds:
- cryptographic signatures;
- replay;
- governance workflows;
- explainability.
TrustGate Federation
Adds:
- federation verification;
- cross-domain exchange;
- delegated trust;
- federation replay.
TrustGate Intelligence
Adds:
- TG-INTEL generation;
- explainable AI;
- predictive trust;
- adaptive learning.
Implementations may support multiple profiles simultaneously.
197. Relationship to the Canonical Invariant Registry
The Canonical Invariant Registry provides the authoritative definition of every invariant referenced by this specification.
This document references invariant families only.
Normative invariant definitions shall not be duplicated across specifications.
Future invariant revisions shall therefore become immediately applicable without modifying this document.
198. Verification & Certification
Conformance may be verified through:
- deterministic replay;
- invariant validation;
- cryptographic verification;
- federation testing;
- lifecycle validation;
- registry consistency checks;
- governance audits.
Certification programs may extend these requirements but shall not weaken them.
199. Relationship to the ZAYAZ Architecture
The Conformance Model integrates directly with:
| Component | Relationship |
|---|---|
| CIA | Identifier conformance |
| CALM | Lifecycle conformance |
| CIR | Normative invariant source |
| TrustGate Trust Model | Trust governance |
| TrustGate Validation Rule Registry | Validation conformance |
| TrustGate Replay Specification | Replay conformance |
| TrustGate Federation Profiles | Federation conformance |
| DSAIL | Intelligence conformance |
| DAL | Integrity conformance |
200. Summary
The Conformance & Reference Invariants model establishes the constitutional implementation contract for TrustGate Attestations.
By defining mandatory conformance requirements, referencing the Canonical Invariant Registry as the authoritative source of constitutional rules, and aligning identifier governance, lifecycle management, replay, federation, cryptographic assurance, and AI explainability, the model ensures that every conforming implementation behaves consistently across the global ZAYAZ ecosystem.
Conformance is therefore measured not by implementation details, but by adherence to the constitutional principles that govern TrustGate Attestations.