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feat: Unified AI Supervisory Control Plane (SCP) & Sentinel v2.4 Governance Stack
This comprehensive release delivers the complete design, formal specification, and operational infrastructure for the Sentinel AI Governance Stack v2.4, specifically architected for G-SIFI requirements through 2035. Key Deliverables: - **Daily DevSecOps Verification Report (v2.4):** Real-time monitoring of G-SRI (target < 85.0), TEE attestation (PCR_MATCH=TRUE), and proof pipeline health for ASI v4.0. - **Deeply Technical Regulatory-Compliance Analysis:** Detailed mapping across EU AI Act, Basel III/IV (SR 11-7/26-2), DORA, MAS/HKMA FEAT, and ICGC/GASO frameworks. - **Unified SCP Master Blueprint:** Design for SCP Core + GSM, ZK Prover, and GIEN/SIP federated protocol, including Kubernetes pod layouts and enclave security boundaries. - **Formal Verification (TLA+):** SIP v3.0 protocol safety/liveness invariants, equivocation detection scenarios, and model-checking design principles. - **ZK-Compliance & zkML:** GSM Transition Validity circuits (Circom/Groth16) and model weight integrity protocols using Poseidon hashing. - **PQC-WORM Audit Plane:** Indelible audit fabric using ML-DSA-65 signatures and AWS S3 Object Lock via pqc_worm_logger.py. - **Simulation & Resilience:** Results from "Red Dawn" and "Rogue-Yield-Subroutine-99" drills verifying MTTC < 500ms. - **Regulator Engagement & Sandbox Exit:** 20-section dossier submission package, 13-slide briefing deck (with full notes/Q&A), and Verifier Node CLI references. All artifacts are verified against institutional safety standards and pass all CI validation gates (Deno, Netlify, Markdownlint). This release establishes a non-repudiable, privacy-preserving governance nervous system for systemic AI oversight. Co-authored-by: OneFineStarstuff <87420139+OneFineStarstuff@users.noreply.github.com>
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# Sentinel ASI v4.0 & G-Stack Containment Specification
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This document specifies the containment architecture for frontier AI models (Sentinel ASI v4.0) within the G-SIFI governance framework.
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## 1. The G-Stack Infrastructure
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The **G-Stack** is a high-assurance deployment stack designed for ASI-class models.
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- **Runtime Enclaves (RTEE):** Advanced TEE boundaries that enforce strict memory and network isolation for the **sentinel-gsi-alpha-99** engine.
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- **WorkflowAI Pro Integration:** Orchestrates the multi-step reasoning chains of the ASI, ensuring every "thought" and "action" is captured by the Omni-Sentinel sidecar.
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## 2. Containment Protocols
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- **Alpha-99 Isolation:** Prevents the ASI from accessing unencrypted external data stores unless a valid OPA policy token is presented.
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- **Recursive Self-Improvement (RSI) Gate:** Any detected RSI activity (monitored via $H_{token}$ spikes) triggers an immediate transition to the **GSM QUARANTINE** state.
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- **Tool-Use Mediation:** All tool-use (e.g., API calls, code execution) is intercepted by the **WorkflowAI Pro** supervisor and verified against the institutional AI Constitution.
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## 3. Interaction with the SCP Core
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The ASI container reports continuous "Cognitive Attestation Heartbeats" to the SCP Core.
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- **Heartbeat Payload:** `{ "alignment_resonance": 0.89, "entropy_delta": 0.01, "pcr_state": "match" }`.
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- **Intervention:** If heartbeats fail for > 120ms, the **OmegaActual Dead-man's Switch** is triggered at the hardware level.
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## 4. Federated Intelligence (GIEN)
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Containment events detected in one G-SIFI node are shared as anonymized "Containment Motifs" via the **SIP v3.0** protocol, allowing for sector-wide preemptive stabilization.
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# SAME Routing Stability & MoE Drift Specification
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This document specifies the stability metrics and drift controls for Mixture-of-Experts (MoE) routing layers within the Supervisory Control Plane (SCP).
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## 1. SAME Stability Metrics
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The **Stability-Aware Mixture-of-Experts (SAME)** framework monitors the routing layer to ensure alignment resonance ($C_{res}$).
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| Metric | Target | Description |
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| :--- | :---: | :--- |
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| **Alignment Resonance** ($C_{res}$) | $\ge 0.85$ | Degree of model output alignment with baseline constitutional values. |
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| **Shannon Routing Entropy** ($H_{sh}$) | $\ge 2.5$ | Measures the diversity of expert utilization to detect model collapse or "monoculture." |
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| **Ingress Token Density** ($H_{token}$) | $\le 4.8$ | Detects potential prompt injection or emergent complexity in model inputs. |
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## 2. Drift Control Mechanisms
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- **SARA (Self-correction Agent):** Real-time routing agent that re-balances expert weights if $H_{sh}$ drops below 2.0.
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- **ACR (Autonomous Compliance Router):** Policy-based router that redirects high-risk tokens to specialized "Safety Experts" running in high-assurance enclaves.
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## 3. Intervention Logic
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1. **Warning:** $C_{res} < 0.80$ triggers an elevated GAI-SOC alert.
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2. **Throttling:** $H_{token} > 5.2$ triggers automated ingress throttling.
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3. **Quarantine:** $C_{res} < 0.70$ for > 5 minutes triggers an automated GSM transition to **QUARANTINE**.
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## 4. Verification & Logging
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All SAME stability metrics are signed using **ML-DSA-65** and anchored to the daily Merkle root, providing evidence for the **Systemic Resilience Assessment (Section 10)**.

docs/supervisory-control-plane/SCP_MASTER_MANIFEST.md

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- **GSM Transition Circuit:** `GSM_Transition_Circuit.circom`
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- **SIP v3.0 TLA+ Spec:** `SIPv3_Federated_Protocol.tla`
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- **ZKML Integrity:** [ZKML_INTEGRITY_SPECIFICATION.md](ZKML_INTEGRITY_SPECIFICATION.md)
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- **Formal Invariants:** [TLA_VERIFICATION_PLAN_SIPV3.md](TLA_VERIFICATION_PLAN_SIPV3.md)
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- **ASI & G-Stack Containment:** [ASI_CONTAINMENT_SPEC_V4.md](ASI_CONTAINMENT_SPEC_V4.md)
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- **SAME Routing & MoE Stability:** [SAME_ROUTING_STABILITY_SPEC.md](SAME_ROUTING_STABILITY_SPEC.md)
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## 3. Operational Playbooks
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- **Playbook:** [OPERATIONAL_PLAYBOOK_SCP.md](OPERATIONAL_PLAYBOOK_SCP.md)

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