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2 changes: 2 additions & 0 deletions .gitignore
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Expand Up @@ -40,3 +40,5 @@ __pycache__/

# Governance test artifacts
artifacts/test-results/
governance-artifact-validation-report.json
governance-validation-suite-report.json
279 changes: 279 additions & 0 deletions ENTERPRISE_AGI_ASI_GOVERNANCE_MASTER_REFERENCE_2026_2035.md
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# Enterprise AGI/ASI Governance Implementation Roadmap & Master Reference (2026–2035)

## Document Intent
This reference is a regulator-ready implementation blueprint for Fortune 500, Global 2000, and G‑SIFIs implementing high-impact AGI/ASI capabilities between **2026 and 2035**.

It is designed to be directly operationalized through policy-as-code, formal specification, supervisory evidence pipelines, and cross-jurisdiction control mapping.

> **Important**: This document is an implementation reference, not legal advice. Local counsel and supervisory guidance should validate jurisdiction-specific obligations.

---

## 1) Reference Architecture and Stack Baseline

### 1.1 Stack Components (Normative Baseline)
- **Sentinel AI Governance Stack v2.4**: policy decision, runtime enforcement, evidence signing, control orchestration.
- **WorkflowAI Pro**: workflow orchestration, human-in-the-loop gates, delegation constraints.
- **G-Stack**: governance data plane, risk analytics, dossier assembly.
- **SIP v2.4**: regulator interface protocol (APIs, schema contracts, signed supervisory exchange).

### 1.2 Five-Zone Control Topology
1. **Fiduciary Zone**: board-level approvals, risk appetite, accountability (SMCR-like named owners).
2. **Policy Zone**: machine-enforced policies (OPA/Rego), change control, exception governance.
3. **Verification Zone**: TLA+ invariants, conformance tests, release gates.
4. **Runtime Zone**: Omni-Sentinel containment, ASAs, intervention automations.
5. **Supervisory Zone**: regulator APIs, OSCAL bundles, ARRE/VAR evidence delivery.

### 1.3 Mandatory Cross-Cutting Controls
- Cryptographic evidence immutability.
- Segregation of duty: model builders cannot unilaterally alter runtime policy.
- Deny-by-default on high-impact autonomous actions.
- Jurisdiction-aware localization for controls, logging, and retention.

---

## 2) Phased Roadmap (2026–2030) + Extension (2031–2035)

## Phase 0 — Foundation (Q3 2026 to Q4 2026)
**Target**: Establish governance constitution and inventory completeness.

**Must-Ship Artifacts**
- AI constitution and fiduciary governance charter.
- Enterprise model/agent inventory with impact tiering (T0–T4).
- Control baseline profile combining NIST AI RMF, ISO/IEC 42001, SR 11-7 principles.

**Exit Criteria**
- >95% model inventory coverage.
- 100% T0/T1 systems mapped to named control owners.

## Phase 1 — Policy/Specification Industrialization (2027)
**Target**: Convert policy narratives into executable controls and verified invariants.

**Must-Ship Artifacts**
- Rego policy packs by jurisdiction and risk tier.
- TLA+ specifications for critical agent workflows.
- Annex IV-ready dossier templates with machine-fillable fields.

**Exit Criteria**
- 100% T0/T1 deployments gated by policy checks.
- Spec-to-policy traceability map complete for all critical paths.

## Phase 2 — Runtime Containment and Perpetual Assurance (2028)
**Target**: Operate AGI containment and SOC-grade monitoring at enterprise scale.

**Must-Ship Artifacts**
- Omni-Sentinel containment rings in enforce mode.
- GAI-SOC telemetry fabric with signed event lineage.
- Red Dawn simulation program (quarterly).

**Exit Criteria**
- MTTC for critical governance breach < 90s.
- 24/7 telemetry for all T0/T1 systems.

## Phase 3 — Prudential Stress Regime (2029)
**Target**: Basel-style AI stress testing integrated with risk appetite and buffers.

**Must-Ship Artifacts**
- G‑SRI methodology and scorecards.
- BBOM perpetual assurance dashboard.
- Annual supervisory stress package and board response protocol.

**Exit Criteria**
- Stress program cycles completed within 30 business days.
- No unremediated critical findings past quarter close.

## Phase 4 — Supervisory Interoperability (2030)
**Target**: API-first supervision and cross-border evidence portability.

**Must-Ship Artifacts**
- SIP v2.4 regulator APIs (evidence, incidents, stress, policy).
- OSCAL exports with ARRE + VAR packages.
- zk-SNARK compliance proof delivery for privacy-preserving attestations.

**Exit Criteria**
- >95% recurring supervisory requests fulfilled via API.
- Manual dossier assembly reduced below 5% of volume.

## 2031–2035 Extension
- 2031–2032: dynamic risk budgets + automated guardrail retuning under formal constraints.
- 2033: shared utility model for systemic incident intelligence.
- 2034: coordinated multi-regulator simulation sandboxes.
- 2035: near-real-time cross-border prudential AI supervision.

---

## 3) AGI/ASI Technical Governance Architecture

### 3.1 Omni-Sentinel Containment
- **Ring 0**: compute and execution kernel constraints.
- **Ring 1**: runtime policy enforcement for tool use and capability exposure.
- **Ring 2**: workflow-level dual control and transaction gates.
- **Ring 3**: enterprise blast-radius limits (DLP/fraud/legal escalation).

### 3.2 AGI Containment Labs
- Air-gapped adversarial simulation clusters.
- Digital twins for critical finance/operations pathways.
- Reproducible red-team corpora and scenario registries.

### 3.3 GAI-SOC
- Canonical telemetry schema: prompt lineage, policy decision, tool effect, intervention state.
- Correlation for autonomy drift, collusion indicators, and policy evasion attempts.
- Signed intervention trail for post-incident supervisory replay.

### 3.4 Red Dawn Simulations
- Quarterly severe-but-plausible exercises across cyber/model/operational axes.
- Mandatory after-action governance remediation, tracked to closure SLAs.

### 3.5 Autonomous Supervisory Agents (ASAs)
- **Compliance ASA**: statutory and policy constraint checks.
- **Risk ASA**: dynamic risk throttles and exposure caps.
- **Fiduciary ASA**: customer impact safeguards and outcome fairness checks.

All ASAs are subordinate to human-ratified constitutional policy with immutable priority ordering.

---

## 4) Formal Verification and Policy-as-Code Conformance

### 4.1 TLA+ Verification Objectives
Critical invariants include:
1. No irreversible external actuation without approved path.
2. No unauthorized privilege transition across rings.
3. No bypass of human checkpoint for designated high-impact actions.

### 4.2 OPA/Rego Enforcement Objectives
- Jurisdiction-aware modules with deterministic reason codes.
- Deny-by-default for missing evidence or missing approvals.
- Explicit exception handling with expiry and owner attribution.

### 4.3 CI/CD Gate (Required)
1. TLA+ lint/model-check pass.
2. Rego unit + scenario test pass.
3. Spec-vs-runtime conformance test pass.
4. Artifact signing and evidence registration.
5. Change approval by independent control owner.

### 4.4 Conformance Chain
`spec hash -> policy hash -> build attestation -> deploy attestation -> runtime decision hash -> dossier evidence`

---

## 5) Basel-Style AI Stress Testing (G‑SRI + BBOM)

### 5.1 G-SRI Components
- Interconnectedness.
- Substitutability.
- Complexity and autonomy depth.
- Cross-border spillover potential.
- Concentration across providers and compute.

### 5.2 Required Scenario Families
- Multi-agent collusion and strategic manipulation.
- Safety classifier false-negative spike during crisis load.
- Policy engine latency and cascading gate failures.
- Compute region outage with policy-localization mismatch.

### 5.3 BBOM Perpetual Assurance
- Continuous behavior indicators with threshold-triggered escalation ladders.
- Board and regulator reporting cadence fed from signed telemetry and stress outputs.

---

## 6) Regulator-Grade Dossier Factory (OSCAL + ARRE + VAR)

### 6.1 ARRE (AI Risk & Resilience Evidence)
Minimum sections:
- Governance and accountability.
- Lifecycle controls and test evidence.
- Runtime containment and incidents.
- Stress results and residual risk.
- Remediation commitments and closure status.

### 6.2 VAR (Validation Attestation Record)
Minimum sections:
- Independent validation opinion.
- Scope and coverage statement.
- Limitations/exceptions.
- Time-bound mitigation commitments.

### 6.3 OSCAL Annexes
- Component definitions, control implementations, assessment results, and plans of action.
- Mappable references to Annex IV technical documentation fields.

---

## 7) Privacy-Preserving Supervisory Assurance (zk-SNARKs)

Use zk proofs to demonstrate compliance without disclosing sensitive model internals or customer data.

Required proof families:
- Threshold compliance at decision time.
- Policy version conformance by jurisdiction.
- Containment response within mandated SLA.

---

## 8) Regulator-Facing APIs and Dashboards (SIP v2.4)

### 8.1 APIs
- **Evidence API**: signed artifacts and lineage proofs.
- **Incident API**: timeline, impact, containment, remediation.
- **Stress API**: scenario catalog, outputs, trend deltas.
- **Policy API**: active rules, versions, exceptions.

### 8.2 Dashboard Requirements
- Jurisdictional heatmaps.
- Early warning indicators and breach forecasts.
- Drill-through from KPI to signed raw evidence.

---

## 9) Regulatory Mapping Playbooks (Control Objectives)

### EU AI Act (Annex IV, Articles 48, 71, 72)
- Annex IV dossier completeness and traceability automation.
- Supervisory cooperation and incident escalation integration.
- Penalty-exposure readiness workflow with legal/compliance triage.

### NIST AI RMF 1.0 / AI 600-1
- GOVERN-MAP-MEASURE-MANAGE mapped to executable control objectives.
- Sector profile overlays and periodic maturity re-baselining.

### ISO/IEC 42001 AIMS
- Management system alignment across policy, competence, operation, evaluation, improvement.

### MAS FEAT + MAS AI Guidelines
- Fairness/transparency/accountability gates embedded in product lifecycle.

### Basel III/IV, SR 11-7, SR 26-2
- Model risk governance, validation independence, issue governance discipline.

### DORA, NIS2, FCA, UK SMCR/Consumer Duty
- Operational resilience, third-party risk, accountability regime mapping, customer outcome controls.

### HKMA Fintech 2030 + ICGC Compute Governance
- Cross-border compute attestation and concentration-risk reporting.

---

## 10) Implementation Checklist (First 180 Days)

1. Appoint named AI accountable executives and control owners.
2. Stand up governance PMO and change approval board.
3. Onboard T0/T1 systems to containment + telemetry.
4. Deploy initial Rego packs and CI/CD gate.
5. Formalize top-10 TLA+ invariants for critical workflows.
6. Execute first Red Dawn simulation and close findings.
7. Produce first Annex IV/OSCAL ARRE+VAR packet.
8. Publish first G‑SRI baseline and BBOM dashboard.

---

## 11) Quantitative KPI Targets
- Policy decision latency P95 < 50ms.
- Unauthorized critical autonomous actions = 0 per quarter.
- Spec-to-runtime conformance > 99.5%.
- T0/T1 pre-deployment verification coverage = 100%.
- Severe incident containment SLA adherence > 99%.
- On-demand supervisory packet generation < 72 hours.

10 changes: 7 additions & 3 deletions Makefile
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Expand Up @@ -65,7 +65,7 @@ governance-validate-json-check:
python3 -c 'import json; p=json.load(open("/tmp/governance_validation.json", "r", encoding="utf-8")); assert p.get("status")=="passed", f"Validator JSON status not passed: {p}"; print("Validator JSON status is passed.")'

governance-check: governance-test governance-validate governance-validate-json-check
.PHONY: governance-setup governance-deps-check governance-lint governance-validate governance-artifact-inventory governance-policy-test governance-validator-test governance-evidence-manifest governance-evidence-verify governance-evidence-schema governance-report governance-report-schema governance-check-generated
.PHONY: governance-setup governance-deps-check governance-lint governance-schema-validate governance-artifact-inventory governance-policy-test governance-validator-test governance-evidence-manifest governance-evidence-verify governance-evidence-schema governance-report governance-report-schema governance-check-generated

governance-setup:
python -m pip install -r docs/schemas/requirements-governance.txt
Expand All @@ -77,7 +77,7 @@ governance-lint:
yamllint -c .yamllint docs/schemas/agi_asi_governance_profile_2026_2030.yaml
python -m json.tool docs/schemas/compliance_control_mapping.json > /dev/null

governance-validate: governance-deps-check governance-lint
governance-schema-validate: governance-deps-check governance-lint
python docs/schemas/governance_artifacts_validation.py
Comment thread
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governance-artifact-inventory:
Expand Down Expand Up @@ -119,7 +119,7 @@ governance-check-generated:
python docs/schemas/check_generated_artifacts.py
PYTHON ?= python3

.PHONY: gov-manifest gov-manifest-check gov-validate gov-validate-json gov-lint gov-dashboard-check gov-selftest gov-suite gov-suite-json gov-suite-report gov-suite-ci gov-clean
.PHONY: gov-manifest gov-manifest-check gov-validate gov-validate-json gov-lint gov-dashboard-check gov-selftest gov-selftest-discover gov-suite gov-suite-json gov-suite-report gov-suite-ci gov-clean

gov-manifest:
$(PYTHON) governance_blueprint/validation/generate_artifact_manifest.py
Expand All @@ -141,8 +141,12 @@ gov-dashboard-check:

gov-selftest:
$(PYTHON) governance_blueprint/validation/selftest_validate_artifacts.py
$(PYTHON) governance_blueprint/validation/selftest_generate_artifact_manifest.py
$(PYTHON) governance_blueprint/validation/selftest_run_validation_suite.py

gov-selftest-discover:
$(PYTHON) -m unittest discover -s governance_blueprint/validation -p "selftest_*.py"

gov-suite:
$(PYTHON) governance_blueprint/validation/run_validation_suite.py

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17 changes: 10 additions & 7 deletions governance_blueprint/artifact_manifest.json
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{
"package": "enterprise_agi_asi_governance_blueprint",
"version": "1.3.1",
"generated_utc": "2026-04-27T06:11:04Z",
"version": "1.4.0",
"generated_utc": "2026-05-06T09:06:00Z",
"artifacts": {
"control_mapping_matrix.csv": "8af4170e62e6aec3c12f3f554d29fe31e6c59c196cd9b3e1590f1238597ce228",
"evidence_event_schema.json": "7c84f8fce1cefeff08308a2763c086eb4ede05881881cd53c484e879df04196a",
"opa/release_gate.rego": "bd117bddd2c77a0fd5cc4741aa6805b6f1f711d2baa5732ca037ea4db7b60c43",
"roadmap_2026_2030.yaml": "35132b486b360d91ceab94e7949278c755a28dbab0cccf64e0b3a776d7dab485",
"validation/validate_artifacts.py": "0908bb44ecf2b209861fb3fe0259bad2b652d94b1f6c50c45592b074f52848e0",
"validation/selftest_validate_artifacts.py": "50414aa4ecf39166268d76ab0363ad2ec9ac32cde6b27ae5c631764fd7bce29b",
"validation/generate_artifact_manifest.py": "654479289df4a57ab58288adcbb5c9e23861f3b3a6e4d524b8214bb8c992d060",
"validation/run_validation_suite.py": "4c7038c4d3da1d6fb3f4c43bddd5b2237856b90bd568a17d03a1d16cfc904781",
"validation/selftest_run_validation_suite.py": "2f987933769c0530eaa7ad51a0454781e8bd90bb700c120219dae5a96645adbe",
"roadmap_2026_2035.yaml": "d0dea65b7a4e6a6b58a84e032ca676db5785e581227c0b78e218b287bc4987d0",
"regulatory_playbook_mapping_2026_2035.csv": "4b7fe3dd0ba9d7371d1e7df30c9611f0cf346bc9f9680def62f144b575f9605d",
"validation/validate_artifacts.py": "1c87eecb899b4b5ce98a0ae88d45146ab9b5dfb7842f4e0b0f11fdea13bf212d",
"validation/selftest_validate_artifacts.py": "7fb6f397bb8247d9c9668e4dc3e28bced027fcb75e99cbdf69109581f2c0f60f",
"validation/selftest_generate_artifact_manifest.py": "5ee98a79e65473870addf150c38d84424e3fb2091d0c925d1fee04940e7e10c5",
"validation/generate_artifact_manifest.py": "3305d6a4b18f1e8d15a580dbbaf45e9d4110ecd948f1a7a3085ecb83295f6c5d",
"validation/run_validation_suite.py": "b7147dae309723216a23078689c910e76bc6fa3934fb0c4516be1ff9239d2edc",
"validation/selftest_run_validation_suite.py": "58618918af699ec6f7e2358fd6932d5d3b85ce5efc0187e6c9e69d4d8520fd5a",
"validation/lint_python_sources.py": "52b36b1427679624fd9778dc93cb7b318b4c882930e78c0947a37d5185dafae9",
"validation/validate_dashboard_links.py": "e854e2c61ac6e31f880fce8e28c6ed95856d13a85fdfdbcf124df74925b1461a"
}
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18 changes: 18 additions & 0 deletions governance_blueprint/regulatory_playbook_mapping_2026_2035.csv
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@@ -0,0 +1,18 @@
framework,obligation,control_family,evidence_artifact,automation_mechanism
EU AI Act Annex IV,technical documentation completeness,dossier_factory,arre_var_bundle,oscal_export_pipeline
EU AI Act Article 48,oversight and quality management,human_oversight_and_qms,oversight_logs,sip_supervisory_endpoint
EU AI Act Articles 71-72,supervisory cooperation and enforcement readiness,incident_and_penalty_workflow,incident_casepack,incident_api
NIST AI RMF 1.0,GOVERN MAP MEASURE MANAGE operationalization,policy_and_metrics,control_kpi_dashboard,rego_policy_pack
NIST AI 600-1,implementation profile and assurance cadence,sector_profile_controls,profile_attestation,spec_policy_trace_map
ISO IEC 42001 AIMS,management system conformance,aims_management_controls,aims_review_pack,continuous_assurance_pipeline
MAS FEAT,fairness ethics accountability transparency,fairness_and_fiduciary_controls,model_outcome_assessment,lifecycle_gates
Basel III IV,model risk and prudential discipline,prudential_model_risk,stress_pack_and_validation,g_sri_bbom_engine
SR 11-7,model inventory and independent validation,model_risk_governance,validation_attestation,var_records
SR 26-2,supervisory expectations for risk governance,enterprise_risk_governance,board_risk_pack,risk_committee_reporting
DORA,operational resilience and ICT risk,operational_resilience,operational_resilience_register,resilience_dashboard
NIS2,cybersecurity governance and reporting,cyber_governance,cyber_incident_bundle,gai_soc_correlation
FCA requirements,consumer and conduct risk controls,conduct_and_governance,conduct_outcome_review,policy_exception_workflow
UK SMCR,senior manager accountability,named_accountability,smcr_responsibility_map,approval_workflow
UK Consumer Duty,good customer outcomes,fiduciary_outcomes,consumer_outcome_assessment,fiduciary_asa_rules
HKMA Fintech 2030,fintech risk governance and innovation controls,fintech_governance,hkma_readiness_packet,regulator_api_profile
ICGC compute governance,compute concentration and cross-border controls,compute_governance,compute_attestation_bundle,zk_proof_attestations
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