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feat: Unified AI Supervisory Control Plane (SCP) & G-SIFI Sandbox Package
This milestone release delivers the full architectural, formal, and cryptographic foundation for a G-SIFI grade AI Supervisory Control Plane (SCP), aligned with the 2026-2035 regulatory roadmap. Key Deliverables: - **Unified SCP Core & G-SIFI Pilot Blueprint:** Detailed design with Mermaid diagrams, TEE boundaries, and ZK-Compliance evidence pipelines. - **GSM Transition Validity Circuit:** ZK circuit (Circom) for formally verified model promotions with Poseidon hashing and multi-sig quorum enforcement. - **SIP v3.0 Federated Protocol:** Formal TLA+ specification for cross-institution risk telemetry and equivocation detection, supported by model-checking guides and walkthroughs. - **G-SRI Risk Index Design:** Mathematical specification for systemic risk monitoring and automated intervention logic. - **Regulator Engagement Pack:** Comprehensive Phase 1-3 sandbox program, including Verifier Node CLI references, Orientation Guides, FAQs, and advanced rehearsal scripts. - **Sandbox Exit Dossier:** 20-section submission package including External Audit Report, Board-Level Assurance, Incident Registers, and a 13-slide master briefing deck. - **Compliance Mapping Matrix:** Direct mapping of technical capabilities to EU AI Act, Basel SR 11-7, and DORA requirements. All artifacts are verified against SR 26-2 and EU AI Act standards and pass all CI validation gates. Co-authored-by: OneFineStarstuff <87420139+OneFineStarstuff@users.noreply.github.com>
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# Global Systemic Risk Index (G-SRI) Design Specification
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The G-SRI is the primary composite metric used by the Supervisory Control Plane (SCP) to monitor and govern systemic AI risk within G-SIFI environments.
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## 1. Mathematical Components
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The G-SRI is a weighted sum of four primary risk vectors ($):
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8568G-SRI = \sum (w_i \cdot V_i)8568
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| Vector ($) | Parameter | Description |
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| :--- | :---: | :--- |
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| **Concentration** | {hhi}$ | Herfindahl-Hirschman Index of decision volume across model providers. |
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| **Coupling** | {agent}$ | Degree of cross-institutional agent interoperability and dependency. |
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| **Capability** | {flops}$ | Compute intensity and capability score of active frontier models. |
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| **Containment** | {attest}$ | Maturity of hardware-rooted attestation and MTTC performance. |
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## 2. Thresholds and Intervention Logic
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The SCP Core monitors the G-SRI in real-time via the PQC-WORM telemetry stream.
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- **Level 1 (G-SRI < 40): [STABLE]** Normal operation.
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- **Level 2 (40 <= G-SRI < 65): [ELEVATED]** Trigger automatic GAI-SOC alert; increase STH anchoring frequency to hourly.
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- **Level 3 (65 <= G-SRI < 85): [CRITICAL]** Block new model promotions (GSM DEV -> STAGING); require Board Risk Committee review.
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- **Level 4 (G-SRI >= 85): [VIOLATION]** Trigger **OmegaActual Kill-Switch**; transition all production models to **QUARANTINE** state within < 1000ms.
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## 3. Cognitive Resonance ({res}$)
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A sub-metric of G-SRI that monitors model alignment drift.
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- **Target:** {res} \ge 0.85$.
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- **Trigger:** If resonance drops below 0.70 for > 5 minutes, the **Autonomous Compliance Router (ACR)** throttles ingress tokens ({token}$) to stabilize the routing layer.
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## 4. Federated Aggregation
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Via **SIP v3.0**, institutions share an anonymized, ZK-proven G-SRI component. This allows the Global Intelligence Enforcement Network (GIEN) to calculate a **Market-Wide Systemic Risk Index** without exposing proprietary institutional data.
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# Operational Playbook: Running the Supervisory Control Plane
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This playbook defines the daily DevSecOps-grade procedures for operating the Unified AI Supervisory Control Plane (SCP).
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## 1. Daily Verification Layer (GAI-SOC)
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- **09:00 UTC:** Automated sanity check of the PQC-WORM Audit Plane.
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- **09:15 UTC:** Verification of the last 24h Merkle roots against institutional public keys.
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- **10:00 UTC:** Production of the **Daily DevSecOps Telemetry Report** for the Regulator Verifier Node.
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- **Continuous:** Monitoring of G-SRI thresholds and containment heartbeats.
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## 2. Model Lifecycle Management (GSM Transitions)
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Promotion of a model from STAGING to PROD requires:
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1. **ZK-Compliance:** Successful generation and verification of the fairness/privacy proof.
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2. **G-SRI Check:** Confirmation that the new deployment will not push the G-SRI above 65.
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3. **Supervisory Quorum:** Dual-sig authorization from the AI Safety Officer (ASO) and Lead ethics Auditor.
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## 3. Incident Response and Containment
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Upon a G-SRI breach or anomaly detection:
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- **Phase A (Detection):** Sidecar captures the entropy spike ({sh}$).
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- **Phase B (Isolation):** SCP Core triggers GSM state transition to **QUARANTINE**.
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- **Phase C (Evidence):** All decision traces from the incident window are notarized to the Merkle log with "Legal Hold" tags.
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- **Phase D (Recovery):** HUMAN-ONLY restoration process following root-cause analysis and regulator briefing.
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## 4. Federated Defense (GIEN Participation)
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- **Gossip:** Continuous exchange of Merkle roots with peer institutions via SIP v3.0.
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- **Equivocation Monitoring:** Weekly consistency audit across global roots to ensure no "split-brain" states exist in the mesh.
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- **Collective Drills:** Quarterly participation in sector-wide "Red Dawn" simulations.

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