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Merge pull request #65 from OneFineStarstuff/codex/develop-ai-governance-frameworks-for-enterprises
Add governance report pack with validator, tests, Makefile, pre-commit and CI workflow
2 parents 9063c12 + 98699fe commit 917dde1

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‎.github/workflows/governance-reports.yml‎

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name: Governance Reports Validation
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on:
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workflow_dispatch:
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pull_request:
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paths:
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- 'docs/reports/**'
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- 'docs/schemas/governance_reports_manifest.schema.json'
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- 'tools/validate_governance_reports.py'
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- 'tool_tests/**'
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- 'Makefile'
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- '.pre-commit-config.yaml'
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- '.github/workflows/governance-reports.yml'
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push:
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paths:
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- 'docs/reports/**'
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- 'docs/schemas/governance_reports_manifest.schema.json'
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- 'tools/validate_governance_reports.py'
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- 'tool_tests/**'
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- 'Makefile'
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- '.pre-commit-config.yaml'
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- '.github/workflows/governance-reports.yml'
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concurrency:
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group: governance-reports-${{ github.ref }}
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cancel-in-progress: true
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jobs:
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validate-governance-reports:
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runs-on: ubuntu-latest
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steps:
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- name: Checkout
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uses: actions/checkout@v4
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- name: Setup Python
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uses: actions/setup-python@v5
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with:
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python-version: '3.11'
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cache: 'pip'
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- name: Cache pre-commit environments
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uses: actions/cache@v4
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with:
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path: ~/.cache/pre-commit
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key: pre-commit-${{ runner.os }}-${{ hashFiles('.pre-commit-config.yaml') }}
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- name: Install pre-commit
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run: python3 -m pip install --upgrade pre-commit
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- name: Run pre-commit hooks
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run: pre-commit run --all-files
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- name: Run governance validation suite
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run: make governance-check

‎.pre-commit-config.yaml‎

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repos:
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- repo: local
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hooks:
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- id: governance-report-pack-validate
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name: governance-report-pack-validate
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entry: make governance-validate
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language: system
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pass_filenames: false
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stages: [pre-commit]
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- id: governance-report-pack-check
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name: governance-report-pack-check
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entry: make governance-check
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language: system
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pass_filenames: false
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stages: [pre-push]
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- repo: https://github.com/pre-commit/pre-commit-hooks
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rev: v5.0.0
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hooks:

‎Makefile‎

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.PHONY: governance-test governance-validate governance-validate-json governance-validate-json-check governance-check
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governance-test:
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python3 -m unittest discover tool_tests
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governance-validate:
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python3 tools/validate_governance_reports.py
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governance-validate-json:
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python3 tools/validate_governance_reports.py --json
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governance-validate-json-check:
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python3 tools/validate_governance_reports.py --json > /tmp/governance_validation.json
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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.")'
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governance-check: governance-test governance-validate governance-validate-json-check
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.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
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governance-setup:

‎docs/reports/BOARD_BRIEF_AGI_ASI_GOVERNANCE_2026_2030.md‎

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<title>
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Board Brief: Institutional-Grade AGI/ASI and Enterprise AI Governance (2026–2030)
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</title>
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<abstract>
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This board-focused brief summarizes the minimum governance posture required for enterprise AI, AGI-adjacent, and high-risk model deployments from 2026 to 2030. It highlights decision rights, risk appetite, supervisory readiness, and management accountability.
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</abstract>
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<content>
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## 1) Board Decisions Required
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1. Approve AI Risk Appetite Statement (AIRAS) and prohibited-use taxonomy.
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2. Approve risk-tier model for autonomy and frontier capability unlocking.
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3. Approve materiality thresholds for model changes and independent validation.
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4. Approve annual crisis simulation charter and notification escalation protocol.
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## 2) What the Board Should Review Quarterly
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- Top KRIs: policy overrides, severe incidents, unresolved validation findings.
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- Control effectiveness: release gate pass rates and remediation aging.
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- Regulatory readiness: jurisdiction heatmap and examination packet completeness.
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- Frontier exposure: capability unlocks, containment events, anomaly index trend.
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## 3) Minimum Assurances the Board Should Demand
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- WORM-backed evidence chain for critical decisions.
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- Independent 2LOD challenge on high/critical model changes.
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- 3LOD internal audit review of governance controls at least annually.
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- Documented kill switch and tested fallback path for critical services.
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## 4) Board Dashboard Template
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- AIRAS adherence (% systems inside approved risk envelope).
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- Open high-severity findings (count + aging distribution).
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- Regulator-readiness score by jurisdiction.
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- Incident trend (SEV-1/SEV-2 rolling 12 months).
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## 5) Escalation Triggers for Immediate Board Notification
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- Any SEV-1 AI incident with customer/systemic impact.
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- Any unapproved frontier capability unlock in production.
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- Any sustained fairness/explainability control breach in regulated decisions.
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- Any supervisory action requiring formal remediation program.
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</content>

‎docs/reports/ENGINEERING_IMPLEMENTATION_PLAYBOOK_AI_GOVERNANCE_2026_2030.md‎

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<title>
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Engineering Implementation Playbook: Regulator-Ready AI Governance (2026–2030)
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</title>
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<abstract>
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This engineering playbook translates governance policy into implementable controls for platform, security, MLOps, and application teams. It focuses on automation, evidence quality, and operational resilience.
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</abstract>
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<content>
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## 1) Build Priorities (First 90 Days)
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- Implement policy decision point (OPA/Rego) in CI/CD and runtime.
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- Standardize governance sidecars for Node.js/Python inference pathways.
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- Create Kafka governance topics and WORM archival integration.
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- Add model/system card generation to release workflow.
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## 2) Non-Negotiable Technical Controls
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- Deny-by-default policy for high-risk actions and privileged tool calls.
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- Signed build artifacts and reproducible training manifests.
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- Per-decision trace IDs linking inference, policy decision, and approval.
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- Drift/fairness/quality monitors with automated incident hooks.
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## 3) High-Assurance RAG and Agentic Guardrails
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- Retrieval from allowlisted corpora only.
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- Prompt injection defenses and output policy filters.
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- Planner/executor/verifier separation for sensitive workflows.
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- Human approval requirement for material financial or legal actions.
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## 4) CI/CD Governance Gate Template
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- Gate 1: model card completeness.
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- Gate 2: validation pass + challenger comparison.
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- Gate 3: privacy/fairness/explainability checks.
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- Gate 4: required 2LOD approval for high/critical releases.
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## 5) Operational Runbook Baseline
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- Incident severity classification (SEV-1 through SEV-4).
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- Kill switch execution and rollback protocol.
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- Forensic evidence export from Kafka+WORM stack.
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- Post-incident corrective action tracking to closure.
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</content>

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