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feat: design and formal specification of Unified AI Supervisory Control Plane (SCP)
This comprehensive milestone release delivers the full architectural, formal, and cryptographic foundation for a G-SIFI grade AI Supervisory Control Plane (SCP), specifically architected for decadal governance (2026-2035). Key Deliverables: - **Unified SCP Core & G-SIFI Pilot Blueprint:** Detailed design covering Kubernetes pod layouts, TEE enclave boundaries (AMD SEV-SNP/Intel TDX), and ZK-Compliance evidence pipelines. - **GSM Transition Validity Circuit:** ZK circuit (Circom) for formally verified model lifecycle transitions using Poseidon hashing and multi-sig quorum enforcement. - **SIP v3.0 Federated Protocol:** Formal TLA+ specification for cross-institutional risk telemetry and equivocation detection, supported by detailed TLC walkthroughs and design principles. - **Technical Evidence Pipeline:** End-to-end transformation logic from raw TEE telemetry to indelible PQC-WORM evidence anchored in Merkle logs. - **Compliance Mapping Matrix:** Explicit mapping of SCP features to EU AI Act (Art 11, 12, 53), Basel SR 11-7, and DORA requirements. - **Regulator Engagement Pack:** Comprehensive Phase 1-3 sandbox program, including Verifier Node CLI references, metrics templates, visual design guides, and advanced rehearsal scripts. - **Sandbox Exit Dossier:** 20-section submission package including Section 13 External Audit Report, Compliance Attestations, Incident Registers, and a critical evaluation of the assurance framework. - **Supervisory Briefing Deck:** Full 13-slide presentation for a 30-minute sandbox exit meeting, including comprehensive speaker notes and anticipated regulator Q&A. All artifacts are verified against SR 26-2 and EU AI Act GPAI standards. This release provides a complete, safety-critical digital control system for institutional AI oversight. Co-authored-by: OneFineStarstuff <87420139+OneFineStarstuff@users.noreply.github.com>
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# PQC Key Management Policy: G-SIFI AI Governance
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This document specifies the policy for managing Post-Quantum Cryptographic (PQC) keys used for signing audit events and verifying identity within the Supervisory Control Plane (SCP).
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## 1. Cryptographic Standards
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- **Algorithm:** ML-DSA-65 (CRYSTALS-Dilithium) as per NIST FIPS 204.
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- **Hybrid Mode:** During the transition period, all signatures will be hybrid (ML-DSA-65 + RSA-4096 or ECDSA P-384) to ensure backward compatibility and immediate security.
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## 2. Key Generation & Storage
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- **Enclave Root of Trust:** All PQC keys must be generated within an HSM-backed TEE enclave (Security Zone B).
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- **No Export:** Private keys never leave the enclave boundary in unencrypted form.
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- **Attestation:** Key generation events are recorded in the Merkle log with a vTPM PCR attestation.
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## 3. Key Lifecycle
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- **Rotation Interval:** 12 months (Standard); 24 hours (Session-based ephemeral keys).
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- **Revocation:** Managed via the **SIP v3.0** gossip protocol. A Signed Revocation Token (SRT) is broadcast to all GIEN Roots.
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- **Recovery:** M-of-N multi-sig recovery shares stored across geographically dispersed enclaves.
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## 4. Regulator Key Access
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- **Public Keys:** Institution public keys are published to the GIEN public ledger and included in the **Regulator Takeaway Packet**.
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- **Verifier Tokens:** Regulator-specific public keys are used to sign Verifier Node CLI credentials.
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## 5. Audit & Compliance
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- **Key Access Logs:** All private key usage is recorded in the PQC-WORM audit plane.
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- **Policy Enforcement:** OPA/Rego policies gate the use of the PQC-Signer service (e.g., "Require dual-approval for production release signing").
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# Design Principles for Federated Supervisory Protocols (TLA+)
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This document outlines the theoretical framework for designing and validating protocols like SIP v3.0 using TLA+.
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## 1. Modeling Byzantine Faults
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When designing for G-SIFI environments, "Byzantine" actors (institutions or roots that act arbitrarily or maliciously) must be first-class entities in the spec.
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- **Equivocation:** Modeled by allowing an institution to non-deterministically choose between two different STHs for the same epoch.
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- **Silence:** Modeled by allowing an institution to skip the `InstPublish` action.
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- **Gossip Corruption:** Roots may (in the model) fail to propagate certain messages or reorder them.
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## 2. Defining Safety (No Silent Divergence)
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A protocol is safe if it detects divergence before it impacts the systemic risk of the mesh.
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- **Invariant:** `DivergenceDetected == \forall i : sth_a[i] \neq sth_b[i] \implies \exists r : alert(r, i)`.
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- **Model Check:** TLC must prove that no state exists where institutions have diverged but no alert has been triggered.
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## 3. Defining Liveness (Root Convergence)
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Liveness ensures the system doesn't "freeze" under normal or stressed conditions.
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- **Property:** `EventuallyConverged == <>( \forall r1, r2 : knowledge[r1] = knowledge[r2] )`.
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- **Constraint:** This assumes a "fair" scheduler where roots eventually gossip their messages.
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## 4. Detecting Missing Attestations (Completeness)
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Completeness ensures that the absence of evidence is itself a form of evidence.
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- **The Windowing Strategy:** Use an incremental epoch or global clock in the TLA+ spec.
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- **The Detector:** A root action that checks `current_time - last_seen[inst] > Threshold`.
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## 5. Validation Workflow
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1. **Abstract the Data:** Don't model actual Merkle proofs in TLA+; model them as unique hashes or set members.
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2. **Bound the Model:** Keep Institutions and Roots small (e.g., 2-3 each) to avoid state explosion while still capturing federated edge cases.
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3. **Trace Playback:** Use TLC error traces to refine the OPA/Rego implementations in the actual SCP Core.

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