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TG-MIB

TrustGate Management Information Base

1. Purpose

TrustGate (TG) is the primary assurance gateway of the ZAYAZ platform.

The TrustGate Management Information Base (MIB) defines the operational runtime behavior, interfaces, APIs, event contracts, processing pipeline, storage models, governance controls, and integration specifications required for implementation and operation of TrustGate across the ZAYAZ ecosystem.

While the TrustGate architectural specification describes the purpose and role of TrustGate within the broader assurance architecture, this document serves as the implementation blueprint for engineers, platform operators, assurance teams, auditors, and integration developers.

The MIB establishes the canonical operational specification for:

• Signal ingestion
• Trust evaluation
• Trust scoring
• Quarantine handling
• Assurance evidence generation
• Replay support
• DAL anchoring
• Federation exchange
• DSAIL learning feedback
• AII contribution

TrustGate operates as the first assurance decision point within ZAYAZ and is responsible for preventing low-confidence information from entering downstream sustainability calculations, reporting pipelines, and regulatory disclosures.

---

2. Scope

TrustGate evaluates all inbound assurance-relevant signals entering the ZAYAZ ecosystem.

Supported signal classes include:

Signal Category	Examples
Financial Signals	AP invoices, purchase orders, ERP transactions
Product Signals	Carbon Passports, DPP records, EPCIS events
Environmental Signals	Meter readings, sensor streams, utility consumption
Supplier Signals	ESG questionnaires, declarations, attestations
Verification Signals	Auditor evidence, replay outcomes
Federation Signals	AFLE trust attestations, federation updates
Governance Signals	Policy acknowledgements, certification records
AI Signals	DSAIL recommendations, anomaly detections

All supported signal types ultimately produce trust artifacts suitable for:

• DAL anchoring
• OARM replay
• AII scoring
• AFLE federation exchange
• Carbon Passport generation
• Regulatory disclosures

---

3. Position Within the Assurance Architecture

3.1 Assurance Flow

Input Hub
    │
    ▼

TrustGate
    │
    ▼

ZSSR
    │
    ▼

Domain Engines
    │
    ▼

DAL
    │
    ▼

DSAIL
    │
    ▼

AII

TrustGate performs the initial trust evaluation before any signal enters the assurance processing chain.

3.2 Upstream Dependencies

Component	Purpose
Input Hub	Signal ingestion
SSSR	Schema validation
ZAR	Component validation
ECO Registry	Identity verification
EGFS	Federation lookup
AFLE	External attestations

3.3 Downstream Consumers

Component	Purpose
ZSSR	Routing decisions
DAL	Assurance anchoring
OARM	Replay validation
DSAIL	Learning feedback
AII	Trust intelligence scoring
Carbon Passport Engine	Product assurance
EIF	External interoperability

---

4. Core Responsibilities

TrustGate performs six primary operational functions.

4.1 Signal Validation

Validation of:

• Structure
• Schema compliance
• Data completeness
• Referential integrity
• Identity integrity

4.2 Trust Evaluation

Computation of confidence metrics based on:

• Provenance
• Quality
• Consistency
• Federation verification
• Historical performance

4.3 Assurance Evidence Generation

Creation of:

• Trust artifacts
• Replay artifacts
• DAL anchors
• Verification metadata

4.4 Quarantine Management

Isolation of:

• Low-trust records
• Failed validations
• Suspicious patterns
• Federated conflicts

4.5 Federation Assurance

Validation of:

• AFLE attestations
• Carbon Passports
• Federated trust evidence
• Cross-ECO exchanges

4.6 Learning Feedback

Publishing assurance outcomes to DSAIL for continuous model improvement.

---

5. Runtime Architecture

5.1. TrustGate Processing Pipeline

TrustGate operates as a deterministic assurance gateway.

Every inbound signal passes through a fixed processing sequence before being accepted, routed, quarantined, or escalated.

The canonical TrustGate runtime order is:

Signal Ingestion
       │
       ▼
Parser
       │
       ▼
Structure Validation
       │
       ▼
Normalizer
       │
       ▼
Enrichment
       │
       ▼
Rule Evaluation
       │
       ▼
Policy Resolution
       │
       ▼
Trust Scoring
       │
       ▼
Decision Engine
       │
       ├── ACCEPT
       ├── ROUTE
       ├── ESCALATE
       ├── QUARANTINE
       └── REJECT
       │
       ▼
DAL Anchoring
       │
       ▼
Event Publication

Structure Validation occurs before normalization and verifies that the parsed payload is admissible, structurally coherent, and safe to normalize.

Rule Evaluation occurs after enrichment and evaluates governed validation rules against the normalized and enriched canonical signal.

Policy Resolution occurs before Trust Scoring because Trust Scoring consumes POLICY-CONTEXT as a mandatory input.

Implementations SHALL NOT execute Trust Scoring before Policy Resolution.

---

5.2. Runtime Components

Component	Responsibility
Signal Parser	Parses inbound payloads into canonical runtime objects
Structure Validator	Performs pre-normalization structural validation
Signal Normalizer	Normalizes identifiers, units, timestamps, schemas, and payload shape
Identity Resolver	Verifies ECO Number, USO, CSI, and relevant identity references
Evidence Enricher	Adds contextual metadata, provenance, federation references, and evidence links
Rule Evaluation Engine	Executes governed validation rules against normalized and enriched signals
Policy Resolution Engine	Resolves POLICY-CONTEXT, thresholds, regulatory constraints, federation constraints, and tenant policies
Trust Scoring Engine	Calculates trust using resolved POLICY-CONTEXT and constitutional evidence
Decision Engine	Selects ACCEPT, ROUTE, ESCALATE, QUARANTINE, or REJECT
Event Publisher	Publishes runtime, trust, replay, and federation events
DAL Connector	Performs assurance anchoring
Replay Connector	Registers replay artifacts and OARM references
Federation Connector	Handles AFLE and federation interactions

---

5.3. Processing Guarantees

TrustGate guarantees:

• Deterministic execution
• Idempotent processing
• Replay reproducibility
• Cryptographic auditability
• DAL anchoring
• USO traceability

Every accepted signal SHALL produce:

• USO lineage reference
• Trust evaluation record
• Replay artifact
• DAL anchor reference

---

6. Trust Evaluation Engine

6.1. Purpose

The Trust Evaluation Engine computes the confidence level associated with a signal.

The Trust Evaluation Engine SHALL execute only after Policy Resolution has produced a resolved POLICY-CONTEXT.

Trust scores are represented as:

$$0 \leq T \leq 1$$

where:

• 0 = completely untrusted
• 1 = fully trusted

---

6.2. Trust Inputs

Category	Example
Source Trust	Historical supplier trust
Identity Trust	ECO verification status
Structure Quality	Pre-normalization structure validation
Data Completeness	Missing field analysis
Rule Evaluation	Governed validation rule outcomes
Policy Context	Resolved POLICY-CONTEXT
Historical Accuracy	Previous replay outcomes
Federation Validation	AFLE verification
DAL Verification	Ledger proof validation
AI Recommendations	DSAIL modifiers

---

6.3. Composite Trust Formula

The default TrustGate trust score is calculated as:

$$T = w_sS + w_iI + w_qQ + w_rR + w_pP + w_hH + w_fF + w_dD$$

Where:

Variable	Description
$S$	Source trust
$I$	Identity confidence
$Q$	Data quality
$R$	Rule evaluation quality
$P$	Resolved policy context
$H$	Historical reliability
$F$	Federation validation
$D$	DAL verification confidence

and

$$\sum w = 1$$

---

6.4. Confidence Interval

TrustGate stores confidence separately from trust score.

$$CI = 1 - \sigma(T)$$

Where:

• $\sigma$ = observed trust variance

Low confidence may trigger escalation despite a high trust score.

---

6.5. Trust Classification

Range	Classification
0.95 – 1.00	Verified
0.85 – 0.95	Trusted
0.70 – 0.85	Conditional
0.50 – 0.70	Review Required
< 0.50	Quarantine

---

7. Decision Engine

7.1. Decision Logic

TrustGate evaluates trust score, confidence, resolved policy context, and federation constraints.

The Decision Engine consumes the Trust Score produced after Policy Resolution. It does not resolve scoring policy retroactively.

Possible outcomes:

Outcome	Description
ACCEPT	Signal accepted
ROUTE	Routed to next processor
ESCALATE	Human review required
QUARANTINE	Signal isolated
REJECT	Signal discarded

---

7.2. Decision Formula

$$Decision = f(T,CI,P,R)$$

Where:

Variable	Meaning
$T$	Trust Score
$CI$	Confidence Interval
$P$	Resolved policy context
$R$	Regulatory Constraints

---

7.3. Example Decision

decision-engine-example.jsonGitHub ↗

{
  "trust_score": 0.91,
  "confidence": 0.94,
  "policy_passed": true,
  "decision": "ACCEPT"
}

---

8. Input Contracts

8.1. Canonical Input Structure

All TrustGate inputs SHALL conform to the following envelope.

trustgate-envelope.jsonGitHub ↗

{
  "event_id": "EVT-2026-001245",
  "eco_number": "ECO-A123",
  "signal_type": "invoice",
  "source_system": "SAP",
  "payload": {},
  "received_at": "2026-01-15T18:30:00Z"
}

---

8.2. Required Fields

Field	Required
event_id	Yes
eco_number	Yes
signal_type	Yes
payload	Yes
received_at	Yes

---

8.3. Identity Verification

TrustGate SHALL verify:

trustgate-id-verify.jsonGitHub ↗

{
  "eco_number": "ECO-A123",
  "did": "did:zayaz:ECO-A123",
  "status": "verified"
}

using:

• ECO Registry
• EGFS Federation Registry
• DAL Anchors

before processing continues.

---

9. Output Contracts

9.1. Trust Assessment Record

trust-assessment-record.jsonGitHub ↗

{
  "assessment_id": "TG-2026-001245",
  "eco_number": "ECO-A123",
  "trust_score": 0.91,
  "confidence": 0.94,
  "classification": "trusted",
  "decision": "ACCEPT",
  "created_at": "2026-01-15T18:30:00Z"
}

---

9.2. Replay Artifact

replay-artifact.jsonGitHub ↗

{
  "replay_id": "RPL-2026-001245",
  "assessment_id": "TG-2026-001245",
  "replayable": true,
  "uso_id": "01JBF0W8S9Q0R1S2T3U4V5W6X"
}

---

9.3. DAL Reference

dal-reference.jsonGitHub ↗

{
  "dal_ref": {
    "ledger_id": "DAL-2026-001245",
    "root_hash": "2dcb5a18f3d55b1f0a3a...",
    "verified": true
  }
}

---

10. Trust Events

10.1. Event Publication

TrustGate emits assurance events for downstream systems.

Topic:

trustgate.events.v1

---

10.2. Trust Event Schema

trust-event-schema.jsonGitHub ↗

{
  "event_type": "trust.evaluated",
  "assessment_id": "TG-2026-001245",
  "eco_number": "ECO-A123",
  "trust_score": 0.91,
  "confidence": 0.94,
  "decision": "ACCEPT",
  "timestamp": "2026-01-15T18:30:00Z"
}

---

10.3. Quarantine Event

quarantine-event.jsonGitHub ↗

{
  "event_type": "trust.quarantine",
  "assessment_id": "TG-2026-001246",
  "eco_number": "ECO-B456",
  "trust_score": 0.41,
  "reason": "identity_conflict",
  "timestamp": "2026-01-15T18:32:00Z"
}

---

10.4. Replay Event

replay-event.jsonGitHub ↗

{
  "event_type": "trust.replay.created",
  "replay_id": "RPL-2026-001245",
  "assessment_id": "TG-2026-001245",
  "uso_id": "01JBF0W8S9Q0R1S2T3U4V5W6X"
}

---

10.5. DSAIL Learning Event

dsail-learning-event.jsonGitHub ↗

{
  "event_type": "trust.learning.feedback",
  "eco_number": "ECO-A123",
  "trust_score": 0.91,
  "verified_score": 0.88,
  "delta": -0.03,
  "model_cmi": "DSAIL.TrustLearner.Model.Core.2_1_0"
}

---

11. API Specification

11.1. Overview

TrustGate exposes REST and gRPC interfaces for:

• Signal ingestion
• Trust assessment
• Replay retrieval
• DAL verification
• Federation validation
• Administrative operations
• Health monitoring

All APIs SHALL be versioned.

Example:

/api/v1/trustgate/*

---

11.2. Signal Submission API

Endpoint

POST /api/v1/trustgate/signals

Request

signal-submission-api-request.jsonGitHub ↗

{
  "eco_number": "ECO-A123",
  "signal_type": "invoice",
  "payload": {
    "invoice_number": "INV-2026-001",
    "amount": 2500.00,
    "currency": "EUR"
  }
}

Response

signal-submission-api-response.jsonGitHub ↗

{
  "assessment_id": "TG-2026-001245",
  "status": "accepted",
  "trust_score": 0.91,
  "confidence": 0.94,
  "decision": "ACCEPT"
}

---

11.3. Assessment Lookup API

Endpoint

GET /api/v1/trustgate/assessments/{assessment_id}

Response

assessment-lookup-api-response.jsonGitHub ↗

{
  "assessment_id": "TG-2026-001245",
  "eco_number": "ECO-A123",
  "trust_score": 0.91,
  "confidence": 0.94,
  "classification": "trusted",
  "decision": "ACCEPT",
  "dal_ref": "DAL-2026-001245"
}

---

11.4. Replay API

Endpoint

POST /api/v1/trustgate/replay/{assessment_id}

Response

replay-api-response.jsonGitHub ↗

{
  "replay_id": "RPL-2026-001245",
  "status": "queued",
  "estimated_completion_seconds": 15
}

---

12. OARM Integration

12.1. Purpose

TrustGate SHALL integrate with the Operational Assurance and Replay Mechanisms (OARM) framework.

Every trust assessment SHALL be reproducible.

---

12.2. Replay Artifact Generation

Each TrustGate decision SHALL generate:

replay-artifact-generation.jsonGitHub ↗

{
  "replay_id": "RPL-2026-001245",
  "assessment_id": "TG-2026-001245",
  "uso_id": "01JBF0W8S9Q0R1S2T3U4V5W6X",
  "input_hash": "f912cb...",
  "configuration_hash": "ab62fd...",
  "model_hash": "c9af31...",
  "replayable": true
}

---

12.3. Replay Verification Formula

Replay integrity is evaluated as:

$$RI = \frac{Successful\ Replays}{Total\ Replay\ Attempts}$$

Where:

• $RI$ = Replay Integrity

Expected value:

$$RI \ge 0.99$$

---

12.4. Replay Event

qarm-replay-event.jsonGitHub ↗

{
  "event_type": "trustgate.replay.completed",
  "replay_id": "RPL-2026-001245",
  "result": "PASS",
  "timestamp": "2026-01-15T18:42:00Z"
}

---

13. DAL Integration

13.1. Purpose

TrustGate SHALL anchor all finalized assessments into DAL.

This guarantees:

• Immutability
• Non-repudiation
• Auditability
• Cross-ECO verification

---

13.2. DAL Submission Record

dal-submission-record.jsonGitHub ↗

{
  "assessment_id": "TG-2026-001245",
  "trust_score": 0.91,
  "decision": "ACCEPT",
  "hash": "3bfa2ec9d2f...",
  "submitted_at": "2026-01-15T18:30:00Z"
}

---

13.3. DAL Verification Response

dal-verification-response.jsonGitHub ↗

{
  "ledger_id": "DAL-2026-001245",
  "root_hash": "2dcb5a18f3d55b1f0a3a...",
  "verified": true
}

---

13.4. Merkle Verification

Verification SHALL use Merkle inclusion proofs.

Example:

{
  "proof": {
    "leaf_hash": "3bfa2e...",
    "root_hash": "2dcb5a18f3d55b1f0a3a...",
    "verified": true
  }
}

---

14. AFLE Integration

14.1. Purpose

TrustGate SHALL support federation-wide trust exchange through AFLE.

Trust assessments may be shared between ECO entities.

---

14.2. Trust Attestation

{
  "attestation_id": "ATT-2026-00877",
  "eco_number": "ECO-A123",
  "trust_score": 0.93,
  "confidence": 0.91,
  "dal_ref": "DAL-2026-001245"
}

---

14.3. Federated Verification

TrustGate SHALL validate:

• Signature validity
• DAL anchors
• ECO identity
• Trust freshness
• Policy compliance

before federated trust can be consumed.

---

15. Carbon Passport Integration

15.1. Purpose

TrustGate SHALL act as the assurance gateway for Carbon Passport generation.

---

15.2. Supported Passport Artifacts

Artifact	Purpose
Carbon Passport	Product assurance
Product Carbon Footprint	Emissions transparency
DPP Record	Product compliance
Supplier Attestation	Supply-chain verification
Lifecycle Calculation	Sustainability evidence

---

15.3. Passport Trust Reference

{
  "passport_id": "CP-2026-00087",
  "trust_assessment": "TG-2026-001245",
  "trust_score": 0.91,
  "verified": true
}

---

16. DSAIL Integration

16.1. Purpose

TrustGate continuously feeds assurance outcomes into DSAIL.

This enables:

• Trust calibration
• Anomaly detection
• Confidence tuning
• Routing optimization

---

16.2. Learning Feedback Record

{
  "event_type": "trust.learning.feedback",
  "assessment_id": "TG-2026-001245",
  "eco_number": "ECO-A123",
  "trust_score": 0.91,
  "verified_score": 0.88,
  "delta": -0.03,
  "model_cmi": "DSAIL.TrustLearner.Model.Core.2_1_0"
}

---

16.3. Trust Drift Formula

$$TD = T_{verified} - T_{predicted}$$

Where:

• $TD$ = Trust Drift

Large drift values indicate model recalibration needs.

---

16.4. Model Feedback Frequency

Event Type	Frequency
Trust Evaluations	Continuous
Replay Outcomes	Continuous
DAL Verifications	Daily
Audit Results	Continuous
Federated Trust Updates	Daily

---

17. AII Integration

17.1. Purpose

TrustGate contributes assurance telemetry to the Assurance Intelligence Index (AII).

---

17.2. AII Metrics Produced

Metric	Description
Trust Accuracy	Predicted vs verified
Replay Success	OARM outcomes
Verification Efficiency	Cost vs verification
Assurance Resilience	Trust stability
Integrity	DAL validation

---

17.3. Contribution Payload

{
  "eco_number": "ECO-A123",
  "assessment_count": 12045,
  "avg_trust": 0.91,
  "trust_variance": 0.03,
  "replay_success_rate": 0.997,
  "dal_verification_rate": 1.0
}

---

18. Federation Integration

18.1. EGFS Participation

TrustGate participates in:

• Federation identity validation
• Trust synchronization
• Assurance exchange
• Carbon Passport verification

---

18.2. Federation Message

{
  "federation_id": "FED-2026-00077",
  "source_eco": "ECO-A123",
  "target_eco": "ECO-B456",
  "payload_type": "trust_attestation",
  "payload_hash": "f91c35b6f21c...",
  "timestamp": "2026-01-15T18:30:00Z",
  "verified": true
}

---

18.3. Trust Freshness Formula

Trust assertions become stale over time.

$$TF = e^{-\lambda \Delta t}$$

Where:

• $TF$ = Trust Freshness
• $\lambda$ = decay coefficient
• $\Delta t$ = elapsed time

Federated trust exchanges SHALL include freshness metadata.

---

19. Data Model

19.1. Trust Assessment Entity

{
  "assessment_id": "TG-2026-001245",
  "eco_number": "ECO-A123",
  "signal_type": "invoice",
  "trust_score": 0.91,
  "confidence": 0.94,
  "decision": "ACCEPT",
  "dal_ref": "DAL-2026-001245",
  "created_at": "2026-01-15T18:30:00Z"
}

---

19.2. Trust Assessment Fields

Field	Type
assessment_id	UUID
eco_number	String
signal_type	String
trust_score	Decimal
confidence	Decimal
decision	Enum
dal_ref	String
created_at	Timestamp

---

20. Storage Schema

20.1. trust_assessments

CREATE TABLE trust_assessments (
    assessment_id UUID PRIMARY KEY,
    eco_number TEXT NOT NULL,
    signal_type TEXT NOT NULL,
    trust_score NUMERIC(5,4),
    confidence NUMERIC(5,4),
    decision TEXT,
    dal_ref TEXT,
    created_at TIMESTAMP
);

---

20.2. replay_artifacts

CREATE TABLE replay_artifacts (
    replay_id UUID PRIMARY KEY,
    assessment_id UUID,
    uso_id TEXT,
    replay_status TEXT,
    created_at TIMESTAMP
);

---

20.3. trust_events

CREATE TABLE trust_events (
    event_id UUID PRIMARY KEY,
    event_type TEXT,
    payload JSONB,
    created_at TIMESTAMP
);

---

21. Security Architecture

21.1. Purpose

TrustGate operates as the first assurance boundary within the ZAYAZ ecosystem and therefore constitutes a critical security component.

All incoming signals, trust evaluations, replay operations, assurance attestations, and federation exchanges SHALL pass through cryptographically verifiable security controls.

TrustGate security architecture is built upon:

• Zero Trust principles
• Defense-in-depth
• Cryptographic verifiability
• Replayability
• Federation-aware identity management
• Continuous assurance monitoring

---

21.2. Security Domains

Domain	Purpose
Signal Security	Protect incoming data integrity
Identity Security	Verify actors and systems
Trust Security	Protect scoring and decisions
Replay Security	Ensure deterministic re-execution
Ledger Security	Prevent historical tampering
Federation Security	Secure Cross-ECO exchanges
AI Security	Govern DSAIL-assisted decisions

---

21.3. Trust Boundary Architecture

External Sources
        │
        ▼
┌────────────────────┐
│ Parser             │
└─────────┬──────────┘
          │
          ▼
┌────────────────────┐
│ Structure Validation│
└─────────┬──────────┘
          │
          ▼
┌────────────────────┐
│ Normalization      │
└─────────┬──────────┘
          │
          ▼
┌────────────────────┐
│ Enrichment         │
└─────────┬──────────┘
          │
          ▼
┌────────────────────┐
│ Rule Evaluation    │
└─────────┬──────────┘
          │
          ▼
┌────────────────────┐
│ Policy Resolution  │
└─────────┬──────────┘
          │
          ▼
┌────────────────────┐
│ Trust Scoring      │
└─────────┬──────────┘
          │
          ▼
┌────────────────────┐
│ Decision           │
└─────────┬──────────┘
          │
          ▼
┌────────────────────┐
│ DAL Anchoring      │
└─────────┬──────────┘
          │
          ▼
Federation / Internal Systems

No signal may bypass TrustGate evaluation.

---

22. Cryptographic Requirements

22.1. Approved Algorithms

Function	Algorithm
Hashing	SHA-256
Signatures	Ed25519
Federation Certificates	X.509
Key Exchange	ECDH
Merkle Trees	SHA-256
Storage Encryption	AES-256-GCM
Transport Encryption	TLS 1.3

---

22.2. Hash Generation

TrustGate SHALL generate hashes for:

• Incoming payloads
• Replay artifacts
• Assessment results
• Trust attestations
• Federation messages

Example:

{
  "hash_algorithm": "SHA-256",
  "payload_hash": "f91c35b6f21c..."
}

---

22.3. Signature Verification

Every federated artifact SHALL be validated.

{
  "signature": {
    "algorithm": "Ed25519",
    "verification_method": "did:zayaz:ECO-A123#trustgate-key",
    "verified": true
  }
}

---

22.4. Merkle Integrity Validation

TrustGate SHALL validate DAL inclusion proofs.

Example:

{
  "proof": {
    "leaf_hash": "3bfa2e...",
    "root_hash": "2dcb5a18f3d55b1f0a3a...",
    "verified": true
  }
}

---

23. Identity & Access Control

23.1. Identity Sources

TrustGate supports:

Identity Type	Example
User	auditor@company.com
Service Account	tg-router-service
ECO Identity	ECO-A123
Federation Node	did:zayaz:ECO-A123
Regulator	EU-CSRD
Verifier	SGS-EU

---

23.2. Role-Based Access Control (RBAC)

Role	Permissions
Operator	View assessments
Reviewer	Manual trust review
Auditor	Replay verification
Administrator	Configuration management
Federation Node	Trust exchange
Regulator	Read-only assurance access

---

23.3. Attribute-Based Controls (ABAC)

Additional controls include:

• Region
• ECO ownership
• Reporting period
• Data classification
• Federation policy level

---

23.4. Example Access Policy

{
  "role": "auditor",
  "resource": "trust_assessment",
  "actions": [
    "read",
    "replay"
  ]
}

---

24. Runtime Configuration

24.1. Trust Threshold Configuration

trustgate:
  thresholds:
    accept: 0.85
    review: 0.70
    quarantine: 0.50

---

24.2. Confidence Thresholds

trustgate:
  confidence:
    minimum: 0.80
    warning: 0.60

---

24.3. Replay Policies

replay:
  retention_days: 3650
  mandatory_for:
    - carbon_passports
    - assurance_reports
    - ai_adjustments

---

24.4. DAL Policies

dal:
  anchoring_interval_minutes: 60
  merkle_batch_size: 50000
  verify_before_publish: true

---

24.5. Federation Policies

federation:
  trust_freshness_days: 90
  require_dal_validation: true
  require_signature_validation: true

---

25. Monitoring & Observability

25.1. Overview

TrustGate SHALL expose operational telemetry via:

• OpenTelemetry
• Prometheus
• Grafana
• VIZZ
• DAL Metrics APIs

---

25.2. Core Metrics

Metric	Description
assessments_total	Total evaluations
accepted_total	Accepted signals
review_total	Manual review cases
quarantined_total	Rejected signals
replay_success_rate	Replay integrity
dal_anchor_success_rate	DAL success
trust_drift	AI deviation
federation_exchanges	Cross-ECO volume

---

25.3. Prometheus Example

trustgate_assessments_total 12345678
trustgate_avg_score 0.91
trustgate_replay_success_rate 0.998

---

25.4. Health Endpoint

GET /api/v1/trustgate/health

Response:

{
  "status": "healthy",
  "version": "2.1.0",
  "dal_connected": true,
  "federation_connected": true
}

---

26. VIZZ Dashboards

26.1. Operational Dashboard

Displays:

• Trust scores
• Acceptance rates
• Manual review backlog
• Quarantine trends

---

26.2. Assurance Dashboard

Displays:

• Replay outcomes
• DAL verification status
• Trust drift
• Audit findings

---

26.3. Federation Dashboard

Displays:

• Cross-ECO exchanges
• Attestation validation
• Carbon Passport verification
• Federation node health

---

26.4. AI Dashboard

Displays:

• Model confidence
• Trust evolution
• DSAIL recommendations
• AII contribution metrics

---

27. Performance & Scalability

27.1. Design Targets

Metric	Target.
Assessment Latency	< 200 ms
Replay Creation	< 5 sec
DAL Submission	< 1 min
Federation Validation	< 2 sec
Availability	99.95%

---

27.2. Throughput Targets

Workload	Target
Invoice Processing	50,000/min
Sensor Signals	1,000,000/min
Federation Messages	100,000/day
Replay Requests	10,000/day

---

27.3. Horizontal Scaling

TrustGate SHALL support:

• Kubernetes deployment
• Stateless processing
• Distributed caching
• Multi-region deployment
• Federation-aware failover

---

27.4. Multi-Tenant Isolation

Isolation SHALL occur at:

• Database layer
• Cache layer
• Queue layer
• Replay layer
• Federation layer

---

28. Operational Runbooks

28.1. Replay Failure

Trigger:

Replay Result != Original Result

Actions:

1. Generate replay incident.
2. Freeze affected assessments.
3. Notify assurance team.
4. Initiate forensic replay.

---

28.2. DAL Failure

Trigger:

DAL Anchor Verification Failed

Actions:

1. Suspend publication.
2. Recompute Merkle tree.
3. Re-submit anchor.
4. Notify administrators.

---

28.3. Trust Drift Incident

Trigger:

$$|T_{verified} - T_{predicted}| > 0.15$$

Actions:

1. Flag DSAIL model.
2. Increase sampling rate.
3. Schedule assurance review.

---

28.4. Federation Incident

Trigger:

Cross-ECO Verification Failure

Actions:

1. Quarantine federation payload.
2. Validate DID.
3. Validate DAL proof.
4. Notify source ECO.

---

29. End-to-End Example — AP Invoice

29.1. Flow

Invoice
   ↓
TrustGate
   ↓
Trust Score = 0.91
   ↓
DAL Anchor
   ↓
AII Update
   ↓
Carbon Passport

---

29.2. Assessment Record

{
  "assessment_id": "TG-2026-001245",
  "eco_number": "ECO-A123",
  "signal_type": "invoice",
  "trust_score": 0.91,
  "confidence": 0.94,
  "decision": "ACCEPT"
}

---

30. End-to-End Example — Carbon Passport

30.1. Flow

Emission Data
     ↓
TrustGate
     ↓
Replay Artifact
     ↓
DAL Anchor
     ↓
AFLE Attestation
     ↓
Carbon Passport

---

30.2. Trust Reference

{
  "passport_id": "CP-2026-00087",
  "trust_assessment": "TG-2026-001245",
  "trust_score": 0.91,
  "verified": true
}

---

31. End-to-End Example — Federated Exchange

31.1. Flow

ECO-A123
      ↓
Trust Attestation
      ↓
AFLE
      ↓
ECO-B456
      ↓
Trust Validation

---

31.2. Federation Message

{
  "federation_id": "FED-2026-00077",
  "source_eco": "ECO-A123",
  "target_eco": "ECO-B456",
  "payload_type": "trust_attestation",
  "verified": true
}

---

32. Governance & Compliance

32.1. Applicable Frameworks

Framework	Coverage
CSRD	Assurance evidence
ESRS	Disclosure validation
ISO 14064-1	GHG verification
ISO 27001	Security controls
EU AI Act	AI governance
GHG Protocol	Emissions assurance

---

32.2. Governance Integration

TrustGate SHALL integrate with:

• OARM
• DAL
• AFLE
• DSAIL
• AII
• FAGF
• EGFS

---

32.3. Assurance Requirements

Every TrustGate decision SHALL be:

• Traceable
• Replayable
• Explainable
• Cryptographically verifiable
• DAL anchored
• Federated when applicable

---

33. References

33.1. Related ZAYAZ Specifications

Specification	ID
End-to-End Traceability Framework	TRACE
Operational Assurance & Replay	OARM
Cross-ECO Assurance & Federation	AFLE
Digital Assurance Ledger	DAL
AI-Assisted Assurance & Trust Intelligence	AIATI
Assurance Intelligence Index	AII
Federated Assurance Governance Framework	FAGF
Global Federation Stack	EGFS

---

33.2. Appendix References

• TrustGate Scoring Rubric (MICE)
• TrustGate Micro-Engine Catalog
• TrustGate Validation Rule Registry
• TrustGate CSI Catalog
• TrustGate Replay Specification
• TrustGate Federation Profiles

---