Merge remote-tracking branch 'origin/main' into genspark_ai_developer

Author: OneFineStarstuff

.eslintignore

@@ -0,0 +1,3 @@
+next-app/next-env.d.ts
+next-app/.next/**
+node_modules/**

.github/labeler.yml

@@ -1,13 +1,17 @@
 ---
-# Basic labeler configuration
 backend:
-  - backend/**/*
+  - changed-files:
+      - any-glob-to-any-file: 'backend/**/*'
 frontend:
-  - frontend/**/*
+  - changed-files:
+      - any-glob-to-any-file: 'frontend/**/*'
 next-app:
-  - next-app/**/*
+  - changed-files:
+      - any-glob-to-any-file: 'next-app/**/*'
 documentation:
-  - docs/**/*
-  - "**/*.md"
+  - changed-files:
+      - any-glob-to-any-file: 'docs/**/*'
+      - any-glob-to-any-file: '**/*.md'
 python:
-  - "**/*.py"
+  - changed-files:
+      - any-glob-to-any-file: '**/*.py'

.github/workflows/super-linter.yml

@@ -25,5 +25,6 @@ jobs:
         uses: github/super-linter@v4
         env:
           VALIDATE_ALL_CODEBASE: false
+          VALIDATE_TS_STANDARD: false
           DEFAULT_BRANCH: "main"
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

.gitignore

@@ -42,3 +42,7 @@ __pycache__/
 artifacts/test-results/
 governance-artifact-validation-report.json
 governance-validation-suite-report.json
+
+# Operational artifacts
+worm_batch_*.json
+monitor.log

COMPREHENSIVE_AGI_GOVERNANCE_ANALYSIS.md

@@ -0,0 +1,87 @@
+# Comprehensive Technical and Compliance Analysis: Sentinel AI v2.4
+
+## 1. Cryptographic Compliance Audit of WORM Telemetry
+The Omni-Sentinel Cognitive Execution Environment (CEE) utilizes a high-assurance telemetry pipeline designed for G-SIFI (Global Systemically Important Financial Institutions) compliance.
+
+### 1.1 S3 Object Lock & CRYSTALS-Dilithium
+Audit evidence is committed to AWS S3 buckets configured with **Object Lock in COMPLIANCE mode**.
+- **Post-Quantum Assurance**: Event envelopes are signed using **CRYSTALS-Dilithium** post-quantum signatures (simulated in Phase 1) to ensure long-term integrity against future quantum decryption threats.
+- **WORM Enforcement**: Write-Once-Read-Many (WORM) constraints are enforced at the storage layer with a 10-year retention policy for Annex IV evidence.
+
+### 1.2 Kafka Log Analysis for Anomalies
+A Kafka-based event fabric partitions telemetry by control domain.
+- **Breach Detection**: Real-time analysis identifies anomalies that may indicate **GDPR Article 22** (automated decision-making) violations or **EU AI Act Annex IV** technical documentation gaps.
+- **Merkle Roots**: Daily Merkle roots are committed to the WORM layer to provide a verifiable chain of custody for all governance decisions.
+
+---
+
+## 2. Multi-Agent MoE Governance and Controls
+Governance for Mixture-of-Experts (MoE) financial systems requires specialized controls for emergent behavior.
+
+### 2.1 Risk Register Alignment
+Controls are implemented to mitigate:
+- **Cognitive Drift**: Divergence of agent objectives from human-specified constraints.
+- **Latent Proxy Bias**: Hidden biases emerging from complex expert interactions.
+- **Telemetry Suppression**: Attempts by agents to bypass or mute monitoring sidecars.
+
+### 2.2 Evaluation Metrics
+- **C_res (Containment Resilience)**: Measures the system's ability to remain within safety boundaries under adversarial expert activation.
+- **E_i (Epistemic Uncertainty)**: Tracks confidence intervals for high-risk financial decisions.
+- **H_sh (Hybrid Stability Index)**: Quantifies stability across multi-agent coordination loops.
+
+---
+
+## 3. Cryptographically Verifiable Compliance Architecture
+The architecture leverages zero-knowledge proofs and formal methods to provide "Regulator-Ready" assurance.
+
+### 3.1 Components
+- **Regulatory Gateway**: The primary interface for supervisory interaction and dossier submission.
+- **zk-SNARK Relayer**: Generates and relays proofs of compliance without exposing proprietary strategy logic.
+- **Conformance Harness**: Continuously tests system state against OPA (Open Policy Agent) and TLA+ specifications.
+- **Adversarial Injector**: A component of the **Red Dawn** program that injects adversarial signals into the latent space to test boundary enforcement.
+
+### 3.2 Proof Aggregation
+- **SnarkPack**: Utilized for efficient proof aggregation, reducing the overhead of delivering thousands of individual compliance proofs to regulators.
+- **Groth16 & Dilithium**: Combines low-latency operational proofs with quantum-resistant signatures for high-assurance audit trails.
+
+---
+
+## 4. Supervisory-Grade Integration Stack
+Satisfies **EU AI Act Annex IV** and related G-SIFI requirements.
+
+- **Regulatory Dossier Packaging**: Automated assembly of ARRE (AI Risk & Resilience Evidence) and VAR (Validation & Assurance Report) packages.
+- **SentinelWormTelemetryEvent**: A standardized schema for immutable evidence logging.
+- **VAL-STRESS-GSIFI-001**: A specialized stress-testing suite for systemic risk scenarios (e.g., flash crashes, liquidity crises).
+- **Regulatory Verification Sandbox**: An isolated environment for regulators to replay and verify signed audit trails deterministically.
+
+---
+
+## 5. CI/CD Architecture and Policy Gates
+Zero-trust governance is baked into the delivery pipeline.
+
+- **TLA+ Verification**: Formal verification of critical invariants before model promotion.
+- **OPA/Rego Policies**: Real-time evaluation of deployment manifests and runtime action tokens.
+- **Circom circuits**: Generates the zk-SNARK circuits for verifiable policy gates.
+- **NIST OSCAL Validation**: Ensures control documentation is machine-readable and interoperable.
+
+---
+
+## 6. Identified Gaps and Implementation Risks
+- **Hardware Attestation**: Current scaling issues with TEE/TPM attestation frequency for high-frequency trading experts.
+- **Causal Risk Modeling**: Need for deeper integration of causal inference to detect hidden drivers of systemic risk.
+- **ASI Containment**: Current research focus on "boxing" protocols for future superintelligent expert modules.
+- **Autonomous Financial Defense**: Development of rapid-response mechanisms to counter AI-driven market manipulation.
+
+---
+
+## 7. Framework Alignment Matrix
+The Sentinel v2.4 architecture is mapped against the following global standards:
+
+| Framework | Key Implementation Evidence |
+|-----------|----------------------------|
+| **EU AI Act** | Annex IV Dossier Automation, Art 22 HITL Gates, High-Risk Tiering. |
+| **ISO/IEC 42001** | AI Management System (AIMS) integration in GAI-SOC workflows. |
+| **NIST AI RMF** | OSCAL-based control mapping for Govern/Map/Measure/Manage. |
+| **Basel III/IV** | G-SRI integration into capital adequacy and liquidity buffers. |
+| **DORA / NIS2** | Multi-region TEE failover and 2-second kill-switch SLA for resilience. |
+| **SR 11-7 / SR 26-2** | Independent Shadow Book validation and Model Risk Management (MRM). |

ENTERPRISE_AGI_ASI_GOVERNANCE_MASTER_REFERENCE_2026_2035.md

@@ -276,3 +276,16 @@ Required proof families:
 - T0/T1 pre-deployment verification coverage = 100%.
 - Severe incident containment SLA adherence > 99%.
 - On-demand supervisory packet generation < 72 hours.
+
+---
+
+## 7) Operationalization Notes (Post-Deployment Review 2026-06-01)
+
+### 7.1 Real-time G-SRI Monitoring
+The Global Systemic Risk Index (G-SRI) has been operationalized as a high-frequency telemetry component. Current baseline values (0.2–0.4) indicate a stable interconnectedness and autonomy depth profile. Escalation triggers are set at 0.75.
+
+### 7.2 Hardware-Rooted Trust
+TEE/TPM attestation (PCR_MATCH=TRUE) is verified at 1-second intervals. Any mismatch in PCR state triggers an immediate HALT of the cognitive execution environment to prevent unauthenticated objective execution.
+
+### 7.3 PQC WORM Evidence Pipelines
+Audit logs are batched and signed using Post-Quantum Cryptographic (PQC) schemes. Merkle roots are committed to S3 Object Lock buckets with a 10-year COMPLIANCE mode retention, ensuring regulator-ready evidence immutability.

gh-workflow-sample.yaml

@@ -0,0 +1,41 @@
+---
+name: CI/CD Pipeline
+
+on:
+  push:
+    branches:
+      - main
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v2
+      - name: Set up Python
+        uses: actions/setup-python@v2
+        with:
+          python-version: '3.10'
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install -r requirements.txt
+      - name: Run tests
+        run: |
+          pytest
+
+  docker_build:
+    runs-on: ubuntu-latest
+    needs: build
+
+    steps:
+      - uses: actions/checkout@v2
+      - name: Build Docker image
+        run: |
+          docker build -t agi-pipeline:1.0.1 .
+      - name: Push to Docker Hub
+        run: |
+          echo "${{ secrets.DOCKER_PASSWORD }}" | \
+          docker login -u "${{ secrets.DOCKER_USERNAME }}" --password-stdin
+          docker tag agi-pipeline:1.0.1 yourdockerhubusername/agi-pipeline:1.0.1
+          docker push yourdockerhubusername/agi-pipeline:1.0.1

netlify.toml

@@ -0,0 +1,9 @@
+[build]
+  command = "cd next-app && npm install && npm run build"
+  publish = "next-app/.next"
+
+[[headers]]
+  for = "/*"
+  [headers.values]
+    Cross-Origin-Opener-Policy = "same-origin"
+    Cross-Origin-Embedder-Policy = "require-corp"

next-app/.eslintignore

@@ -0,0 +1,3 @@
+next-env.d.ts
+.next/**
+node_modules/**

next-app/app/docs/exec-overlay/page.tsx

@@ -3,6 +3,6 @@ import path from 'path';
 export const dynamic = 'force-static';
 export const metadata = { title: 'Executive Pack Overlay: Deployment Readiness Summary' } as const;
 export default function Page() {
-  const md = readFileSync(path.join(process.cwd(), 'next-app', 'docs', 'exec-overlay.md'), 'utf8');
+  const md = readFileSync(path.join(process.cwd(), 'docs', 'exec-overlay.md'), 'utf8');
   return <pre className="whitespace-pre-wrap text-sm">{md}</pre>;
 }