Add 2026–2035 roadmap & regulatory mapping plus validator, manifest, and test updates

.gitignore

@@ -40,3 +40,5 @@ __pycache__/
 
 # Governance test artifacts
 artifacts/test-results/
+governance-artifact-validation-report.json
+governance-validation-suite-report.json

ENTERPRISE_AGI_ASI_GOVERNANCE_MASTER_REFERENCE_2026_2035.md

@@ -0,0 +1,278 @@
+# 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.

Makefile

@@ -64,6 +64,8 @@ governance-validate-json-check:
 	python3 tools/validate_governance_reports.py --json > /tmp/governance_validation.json
 	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-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-check: governance-test governance-reports-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
 
@@ -77,7 +79,7 @@ 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
 
 governance-artifact-inventory:
@@ -119,7 +121,7 @@ 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
@@ -140,8 +142,14 @@ gov-dashboard-check:
 	$(PYTHON) governance_blueprint/validation/validate_dashboard_links.py
 
 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
 	$(PYTHON) -m unittest discover governance_blueprint/validation -p 'selftest_*.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
 

governance_blueprint/artifact_manifest.json

@@ -1,5 +1,7 @@
 {
   "package": "enterprise_agi_asi_governance_blueprint",
+  "version": "1.4.0",
+  "generated_utc": "2026-05-06T09:06:00Z",
   "version": "1.4.5",
   "generated_utc": "2026-04-28T02:47:09Z",
   "artifacts": {
@@ -9,6 +11,14 @@
     "annex_iv_technical_documentation_template.json": "08c791484963dd46e0cbc0e76358229813816f66d050df4e9783e73ded7e787e",
     "civilizational_compute_governance_framework.yaml": "15a2b94042bcd6f79643be6289febbef3b697f29424e842b76ee8944027d9d27",
     "roadmap_2026_2030.yaml": "35132b486b360d91ceab94e7949278c755a28dbab0cccf64e0b3a776d7dab485",
+    "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",
     "rollout_plan_2026_2030.yaml": "2d735de1f810f23828f9798154ac5dfe50460b4e583909ea8b677dfeafb26061",
     "opa/release_gate.rego": "3a8b5e3a4c90e78bfd5f9dee1f4ca4927d198238aa18679e4a78aa94623d453c",
     "opa/systemic_risk_guardrails.rego": "5eb9d5f7061aa0f03194d505c8eb3347cbac00138ff3ce28ec1b71bee5382ab7",

governance_blueprint/regulatory_playbook_mapping_2026_2035.csv

@@ -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