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Sentinel AI Governance Dashboard: Implementation Roadmap & Technical Report Plan (2026–2035)

Version: 1.0 Last Updated: 2026-06-15 Owner: AI Governance Platform Engineering Status: Approved

1. Executive Summary

The Sentinel AI Governance Dashboard serves as the central command-and-control interface for Global Systemically Important Financial Institutions (G-SIFIs) to manage the lifecycle, safety, and regulatory compliance of enterprise AI and frontier AGI/ASI systems. This roadmap transitions from basic observability to autonomous, hardware-rooted containment and zero-knowledge evidence production.

2. Technical Stack Recommendation (React-Centric)

Frontend (High-Assurance UI)

  • Framework: React 19+ with Next.js (App Router) for high-performance SSR/ISR.
  • Component Library: Radix UI Primitives + Tailwind CSS (ensuring accessibility and design consistency).
  • State Management: TanStack Query (Server State) + Zustand (Client State).
  • Visualization: Recharts (operational telemetry) + D3.js (complex relationship maps, Global Variable Map, and causal lineage).
  • Accessibility: Web Speech API for voice-driven governance queries (e.g., hands-free audit station interaction) and WCAG 2.2 AA compliance.

Backend & Governance Plane

  • Primary API: FastAPI (Python) or Node.js (Deno/Express) for low-latency policy evaluation.
  • Policy Engine: Open Policy Agent (OPA) with Rego for real-time Admission Control.
  • Audit Storage: Kafka (Event Fabric) → S3 Object Lock (PQC-WORM) using the pqc_worm_logger.py utility (interface documented in Section 4.III).
  • Privacy/ZK: Circom & SnarkJS for Groth16 zk-SNARK proofs; TEE attestation (AMD SEV-SNP/Intel TDX).

3. Phased Implementation Roadmap

Phase 1: Foundation & WORM Audit (Q3 2026)

Target: Establish the "Single Source of Truth" for AI evidence.

  • WORM Audit Log Exports: Immutable evidence storage and export for internal audit.
  • RBAC Enforcement: OPA-based Role-Based Access Control (Viewer, Auditor, Model Owner, Admin).
  • ComplianceDashboard (v1): Baseline visualization of model inventory and simple status checks.
  • Hardware Attestation UI: Real-time TEE/vTPM status monitor (PCR_MATCH=TRUE).
  • Web Speech API: Initial hands-free UX for audit stations.

Phase 2: Intelligence & Compliance (Q1 2027)

Target: Real-time alignment with global regulatory regimes. Prerequisites: Phase 1 Foundation.

  • Global Variable Map: Visualizing prompt/model variable dependencies across the enterprise.
  • Regulatory Mapping: Automated OSCAL mapping for EU AI Act, DORA, GDPR, and NIST AI RMF.
  • OSCAL Export: Machine-readable regulatory dossier assembly.
  • Cognitive Attestation: Initial implementation of "Intent vs. Output" monitoring (Cognitive Resonance).

Phase 3: Assurance & Simulation (Q4 2027)

Target: Proactive risk mitigation and privacy-preserving audit. Prerequisites: Phase 1 WORM, Phase 2 Compliance.

  • EAIP Simulator Tooling: "Chaos Engineering" for AI agents; testing Enterprise AI Agent Interoperability Protocol (EAIP) constraints.
  • Zero-Knowledge Proof Auditing: Groth16 zk-SNARK proofs for G-SRI (Global Systemic Risk Index) thresholds.
  • AI-Driven Workflow Recommendation Engine: ML-powered suggestions for governed, safe workflow chains.
  • Signed & PDF-Exported Reports: Cryptographically signed technical documentation (Annex IV compliant).

Phase 4: AGI/ASI Maturity & Systemic Risk (Q1 2028+)

Target: Global alignment and autonomous containment. Prerequisites: Phase 1-3 completion, TEE attestation, ZK-Compliance operational.

  • Global Kill-Switch Workflows: Hardware-rooted, multi-sig "OmegaActual" intervention protocol.
  • AGI/ASI Safety Roles: Integration of Council Charter and AI Safety Officer (ASO) workflows.
  • Red Dawn Scenario Runner: Simulation of existential risk scenarios and containment verification.
  • International Governance Interface: SIP v3.0 integration for ICGC ledger anchoring.

4. Technical Report Plan

Section Description Owner Timeline Audience
I. UX Features WRE implementation via GNNs; D3.js Variable Mapping; Cognitive Attestation UX. Product / Engineering Q1 2027 Internal / Audit
II. Monitoring Framework Crosswalk (OPA -> ISO 42001/NIST); Risk Pulse telemetry design. Compliance / Risk Q1 2027 Regulator / Board
III. Cryptographic PQC-WORM (Kafka + ML-DSA-65); pqc_worm_logger.py interface; ZK-Circuits (Circom). Security Eng Q4 2027 Auditor / Security
IV. EAIP & Policy In-dashboard OPA IDE; EAIP protocol adversarial simulation methodology. Platform Eng Q4 2027 Engineering
V. AGI/ASI Safety Alignment Resonance ($C_{res}$) metrics; Council Charter workflows; X-Risk modeling. AI Safety Council Q1 2028 Board / Regulator

5. Feature Prioritization Matrix

Feature Priority Complexity Phase
WORM Audit Logs Critical Medium Phase 1
RBAC (OPA) Critical Low Phase 1
ComplianceDashboard High Medium Phase 1
OSCAL Export High Medium Phase 2
Cognitive Attestation High Medium Phase 2
Global Kill-Switch High High Phase 4
Red Dawn Runner High High Phase 4
ZK-Proofs (Groth16) Medium High Phase 3
Workflow Rec Engine Medium High Phase 3
Signed PDF Reports Medium Low Phase 3
Web Speech API Low Low Phase 1
ICGC Anchoring Low High Phase 4

6. Definitions & References

  • Alignment Resonance ($C_{res}$): A measure of the divergence between agent objective functions and the Enterprise AI Constitution. Defined in the SENTINEL_ALIGNMENT_SPEC_V2.md.
  • pqc_worm_logger.py: Internal utility for signing events using CRYSTALS-Dilithium before commit to Kafka.