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diff --git a/‎docs/GSIFI_SENTINEL_2.4_MASTER_IMPLEMENTATION_PLAN.md‎
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diff --git a/‎frontend/src/api/client.ts‎
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@@ -1,4 +1,5 @@
-import process from "node:process";
+import process from 'node:process';
+import { Buffer } from 'node:buffer';
 /**
  * Authentication Routes
  * Handles user registration, login, token refresh, and password management
 
@@ -1,3 +1,5 @@
+import process from 'node:process';
+import { Buffer } from 'node:buffer';
 /**
  * AES-GCM Encryption Utilities
  * Provides end-to-end encryption capabilities for sensitive data
 
@@ -1,3 +1,5 @@
+import process from 'node:process';
+import { Buffer } from 'node:buffer';
 /**
  * Winston Logger Configuration
  * Provides structured logging with multiple transports and security features
 
@@ -1,3 +1,5 @@
+import process from 'node:process';
+import { Buffer } from 'node:buffer';
 /**
  * Environment and Input Validation Utilities
  * Validates configuration and user inputs for security
 
@@ -0,0 +1,59 @@
+# Master Implementation Plan: Sentinel AI Governance Stack v2.4 (2026-2035)
+
+## 1. Executive Summary
+This document defines the comprehensive implementation strategy for deploying the Sentinel AI Governance Stack v2.4 across Global Systemically Important Financial Institution (G-SIFI) infrastructures. The architecture integrates formal verification, confidential computing, and zero-knowledge compliance to ensure AGI/ASI safety and multi-jurisdictional regulatory adherence.
+
+## 2. Safety Architecture & Containment
+### 2.1 Omni-Sentinel Cognitive Execution Environment (CEE)
+- **High-Assurance Enclaves**: Deployment on AMD SEV-SNP and Intel TDX platforms to ensure memory encryption and isolation.
+- **vTPM Attestation**: Mandatory `PCR_MATCH=TRUE` enforcement for all containment nodes before model weights are decrypted.
+- **Dead-man's Switch**: OmegaActual heartbeat protocol enforcing immediate containment if supervisory monitors fail.
+
+### 2.2 SARA/ACR Routing Stabilization
+- **SARA (Self-correction & Alignment Routing Agent)**: Real-time stabilization of Mixture-of-Experts (MoE) routing layers to prevent systemic drift.
+- **ACR (Autonomous Compliance Router)**: Dynamic policy-based routing to ensure jurisdictional compliance (e.g., GDPR, MAS FEAT) at the inference edge.
+
+## 3. Cryptographic Compliance & Audit
+### 3.1 Zero-Knowledge Systemic Risk Proofs
+- **Groth16 zk-SNARKs**: Institutional-grade proofs for G-SRI (Global Systemic Risk Index) thresholds without exposing proprietary model data.
+- **zk-STARK Migration**: Long-term transition path for post-quantum transparency and scalability.
+- **SystemicRiskAggregator**: Automated aggregation of risk witnesses for supervisory review.
+
+### 3.2 PQC-WORM Audit Plane
+- **CRYSTALS-Dilithium**: NIST-standardized post-quantum signatures for all governance logs.
+- **Kafka/S3 WORM**: Immutable, non-rewriteable storage using S3 Object Lock in COMPLIANCE mode (7-10 year retention per SEC/ESMA).
+
+## 4. Multi-Jurisdictional Compliance Mapping
+The Sentinel v2.4 stack is pre-mapped to the following global regimes:
+- **EU AI Act (Annex IV)**: Automated technical documentation and systemic-risk reporting for high-risk GPAI.
+- **Basel III/IV & SR 11-7 / SR 26-2**: Model risk governance, independent validation, and stress-testing integration.
+- **NIST AI RMF 1.0 & ISO/IEC 42001**: Lifecycle-wide management and control effectiveness monitoring.
+- **DORA & NIS2**: Operational resilience and incident notification for critical financial entities.
+- **MAS FEAT & HKMA Fintech 2030**: Fairness, Ethics, Accountability, and Transparency in AI-driven decisions.
+
+## 5. Implementation Roadmap (2026-2035)
+### Phase 0: Foundational Hardening (2026-Q3 to 2026-Q4)
+- Deploy Sentinel v2.4 baseline and initialize PQC audit plane.
+- Establish AI Constitution v1 and model tiering registry.
+
+### Phase 1: Policy Industrialization (2027)
+- Convert all controls to OPA/Rego v2 and TLA+ verification.
+- Activate SARA/ACR routing stabilization for production MoE swarms.
+
+### Phase 2: Containment & Perpetual Assurance (2028)
+- Enforce Omni-Sentinel containment rings with hardware kill-switches.
+- Launch 24/7 GAI-SOC and quarterly "Red Dawn" crisis simulations.
+
+### Phase 3: Prudential Stress & ZK-Compliance (2029-2030)
+- Operationalize G-SRI stress testing and ZK-SNARK compliance dossiers.
+- Automated OSCAL delivery to supervisors via SIP v3.0 interfaces.
+
+### Phase 4: ASI-Ready Supervisory Regime (2031-2035)
+- Dynamic regulator profile updates and cross-border federated intelligence.
+- Civilizational-scale risk monitoring and emergency compute throttling integration.
+
+## 6. Formal Governance Artifacts
+- **Containment Invariants**: `governance_blueprint/SentinelContainmentProtocol.tla`
+- **ZK Circuit Specification**: `governance_blueprint/SystemicRiskAggregator.circom`
+- **Treaty Enforcement**: `governance_blueprint/OmegaActualTreatyEngine.sol`
+- **Infra-as-Code**: `governance_blueprint/confidential_enclave_deployment.tf`
@@ -0,0 +1,44 @@
+# Security and Regulatory Compliance Review: Sentinel AI Governance Stack v2.4
+
+## 1. Overview
+This report evaluates the security posture and regulatory alignment of the Sentinel AI Governance Stack v2.4 blueprints and implementation artifacts for G-SIFI deployment.
+
+## 2. Component Reviews
+
+### 2.1 OmegaActualTreatyEngine (Solidity)
+- **Security Findings**:
+  - **Liveness Mechanism**: Uses a 300-second `HEARTBEAT_THRESHOLD`. This is sufficient to mitigate minor block-time manipulation risks.
+  - **Access Control**: Appropriately uses `onlyCASO` modifier for sensitive treaty proposals.
+  - **Multi-sig Ratification**: Current implementation requires simple quorum. Recommend adding time-locks for high-impact treaty changes.
+- **Regulatory Alignment**:
+  - **DORA / Operational Resilience**: Provides a decentralized "kill-switch" mechanism that ensures resilience even if centralized monitors fail.
+  - **EU AI Act**: Supports the "Human Oversight" requirement (Article 14) by ensuring a human supervisory quorum can intervene.
+
+### 2.2 SystemicRiskAggregator (Circom)
+- **Security Findings**:
+  - **Input Privacy**: Correctly implements private witnesses for institutional risk data.
+  - **Soundness**: Requires trusted-setup MPC for Groth16. Plan includes migration to STARKs to mitigate this dependency.
+- **Regulatory Alignment**:
+  - **Basel III/IV / SR 26-2**: Enables systemic risk aggregation across entities without leaking sensitive market positions, satisfying prudential secrecy requirements.
+  - **GDPR Article 22**: Provides a mathematical proof of adherence to risk-based automated decision guardrails.
+
+### 2.3 Rego Policy Modules (OPA)
+- **Security Findings**:
+  - **Deny-by-Default**: Both `release_gate.rego` and `systemic_risk_guardrails.rego` correctly follow a fail-closed security model.
+  - **Tier-based Granularity**: Successfully escalates controls from Tier 1 (baseline) to Tier 4 (high-assurance).
+- **Regulatory Alignment**:
+  - **EU AI Act Annex IV**: Directly enforces the presence of technical documentation and safety cases before deployment.
+  - **NIST AI RMF**: Implements the "Govern" and "Map" functions by enforcing registration and risk-tier rationale.
+
+### 2.4 Governance Dashboard (React/Next.js)
+- **Security Findings**:
+  - **Data Exposure**: Dashboard currently relies on `maturity.json`. Recommend integrating with the PQC-WORM evidence plane for live, authenticated data.
+- **Regulatory Alignment**:
+  - **Board Reporting (SR 11-7)**: Provides clear visibility into "Blockers" and "Quick Wins," supporting the effective challenge requirement by non-technical board members.
+
+## 3. Multi-Jurisdictional Gaps & Recommendations
+- **MAS FEAT / HKMA Ethics**: Current blueprints focus on safety/containment. **Recommendation**: Integrate the `fairness.ts` and `interpretability.ts` logic directly into the OPA release gates to enforce fairness thresholds (Demographic Parity) and explainability (CAE) for retail-facing models.
+- **PQC Transition**: While Kafka logs are signed with CRYSTALS-Dilithium, ensure the ZK verification keys are also stored in a PQC-resistant registry.
+
+## 4. Conclusion
+The Sentinel v2.4 architecture is robust and highly aligned with the 2026-2035 regulatory horizon. The integration of hardware-rooted attestation (PCR_MATCH=TRUE) and formal invariants (TLA+) provides a superior safety baseline for AGI/ASI governance compared to traditional manual audit regimes.
@@ -16,19 +16,19 @@ import toast from 'react-hot-toast'
 import { cryptoManager } from '@crypto/cryptoManager'
 
 // Types
-export interface ApiResponse<T = any> {
+export interface ApiResponse<T = unknown> {
   success: boolean
   data?: T
   message?: string
   error?: string
-  details?: any
+  details?: unknown
 }
 
 export interface ApiError {
   message: string
   status: number
   code?: string
-  details?: any
+  details?: unknown
 }
 
 export interface RequestConfig extends AxiosRequestConfig {
@@ -162,7 +162,7 @@ class ApiClient {
       return this.refreshPromise
     }
 
-    this.refreshPromise = new Promise(async (resolve, reject) => {
+    this.refreshPromise = new Promise((resolve, reject) => { (async () => {
       try {
         // Get refresh token from localStorage or store
         const storedAuth = localStorage.getItem('turning-wheel-auth')
@@ -204,8 +204,7 @@ class ApiClient {
         reject(error)
       } finally {
         this.refreshPromise = null
-      }
-    })
+      }})() })
 
     return this.refreshPromise
   }
@@ -260,42 +259,42 @@ class ApiClient {
   /**
    * GET request
    */
-  async get<T>(url: string, config?: RequestConfig): Promise<AxiosResponse<ApiResponse<T>>> {
+  get<T>(url: string, config?: RequestConfig): Promise<AxiosResponse<ApiResponse<T>>> {
     return this.instance.get(url, config)
   }
 
   /**
    * POST request
    */
-  async post<T>(url: string, data?: any, config?: RequestConfig): Promise<AxiosResponse<ApiResponse<T>>> {
+  post<T>(url: string, data?: unknown, config?: RequestConfig): Promise<AxiosResponse<ApiResponse<T>>> {
     return this.instance.post(url, data, config)
   }
 
   /**
    * PUT request
    */
-  async put<T>(url: string, data?: any, config?: RequestConfig): Promise<AxiosResponse<ApiResponse<T>>> {
+  put<T>(url: string, data?: unknown, config?: RequestConfig): Promise<AxiosResponse<ApiResponse<T>>> {
     return this.instance.put(url, data, config)
   }
 
   /**
    * PATCH request
    */
-  async patch<T>(url: string, data?: any, config?: RequestConfig): Promise<AxiosResponse<ApiResponse<T>>> {
+  patch<T>(url: string, data?: unknown, config?: RequestConfig): Promise<AxiosResponse<ApiResponse<T>>> {
     return this.instance.patch(url, data, config)
   }
 
   /**
    * DELETE request
    */
-  async delete<T>(url: string, config?: RequestConfig): Promise<AxiosResponse<ApiResponse<T>>> {
+  delete<T>(url: string, config?: RequestConfig): Promise<AxiosResponse<ApiResponse<T>>> {
     return this.instance.delete(url, config)
   }
 
   /**
    * Upload file with progress tracking
    */
-  async uploadFile<T>(
+  uploadFile<T>(
     url: string,
     file: File,
     onProgress?: (progress: number) => void,
@@ -354,10 +353,10 @@ class ApiClient {
   /**
    * Make encrypted request
    */
-  async encryptedRequest<T>(
+  encryptedRequest<T>(
     method: 'get' | 'post' | 'put' | 'patch' | 'delete',
     url: string,
-    data?: any,
+    data?: unknown,
     config?: RequestConfig
   ): Promise<AxiosResponse<ApiResponse<T>>> {
     const encryptedConfig: RequestConfig = {
@@ -397,7 +396,7 @@ class ApiClient {
   /**
    * Get current user
    */
-  async getCurrentUser(): Promise<AxiosResponse<ApiResponse<any>>> {
+  getCurrentUser(): Promise<AxiosResponse<ApiResponse<any>>> {
     return this.get('/auth/me')
   }
Original file line number	Diff line number	Diff line change
`@@ -1,3 +1,5 @@`
	`1`	`+import process from 'node:process';`
	`2`	`+import { Buffer } from 'node:buffer';`
`1`	`3`	`/**`
`2`	`4`	`* AES-GCM Encryption Utilities`
`3`	`5`	`* Provides end-to-end encryption capabilities for sensitive data`