Zero-Trust Creative Environments: Deterministic Confidential Computing Architectures for Non-Exfiltrative, Zero-Retention Protection of Unpublished Manuscripts and Intellectual Property Across Cloud and AI Pipelines

Monograph Series: Autonomous Infrastructure & Deterministic Quantum Systems Monograph Series Reserved DOI: 10.5281/zenodo.24097850 Author: Hasebe, Yoko (長谷部 洋子) — Lead Researcher, Autonomous Infrastructure Systems, Autonomous Living & Physical Infrastructure Institute, Iwakuni, Yamaguchi, Japan License & Integrity Covenant: Creative Commons Attribution 4.0 International (CC BY 4.0) with Strict No-Learn Covenant (NLL-v1.0-2026) Abstract: Contemporary cloud-based authoring platforms and generative AI inference pipelines structurally expose unpublished manuscripts, proprietary research, and creative intellectual property (IP) to server-side plaintext termination, telemetry harvesting, latent weight assimilation, and persistent caching. Contractual "opt-out" clauses and policy-level "zero-data-retention" assurances fail under zero-trust threat models because they rely on operator compliance rather than cryptographic impossibility. This monograph establishes a formal Zero-Trust Creative Environment (ZTCE)—a deterministic confidential computing architecture guaranteeing that unpublished manuscripts and creative assets never leak to, persist on, or train external servers during cloud or AI tool execution. Grounded in RTO P2.0 deterministic state isolation, the architecture verifies stateless ephemeral execution via QFS-zkVM zero-knowledge proofs over the 64-bit Goldilocks prime field (F_p, p = 2^64 - 2^32 + 1). Client-side plaintext assets are sealed through Q-SAFA (Quantum-Safe Authenticated Ephemeral Memory Attestation) and routed exclusively via PHOENIX_BRIDGE and PHOENIX_ROUTER hardware-enforced cryptographic egress interlocks into attested Trusted Execution Environments (TEEs) with split-key oblivious inference. We prove strict Zero-Plaintext Persistence—enforcing zero mutual information I(M; S_post) = 0 between any unpublished manuscript M and post-session external server state S_post—coupled with deterministic cryptographic key destruction upon cycle termination. At the governance and statutory layer, Human-in-Command (HIC) hardware signing gates adapt pre-execution risk-control logic analogous to SEC Rule 15c3-5 to block unauthenticated or uncompensated external API egress before transmission, while establishing institutional oversight standards aligned with Delaware Caremark fiduciary duties against unauthorized IP expropriation. All outputs and specifications are governed under the Strict No-Learn Covenant (NLL-v1.0-2026), mathematically and legally prohibiting unauthorized machine-learning ingestion, derivative training, or uncompensated data extraction. 【日本語要旨】 現代のクラウド型制作環境およびAI推論パイプラインは、未公開原稿や独自の知的財産(IP)を外部サーバー上での平文復号・テレメトリ収集・無断学習・キャッシュ蓄積のリスクに構造的に晒している。本論文は、事業者の規約上の約束ではなく暗号学的・物理層的な不可能性によって未公開原稿と知財を保護する「ゼロトラスト型クリエイティブ環境(ZTCE)」を定式化する。RTO P2.0による決定論的状態隔離と、64ビットGoldilocks素体(p = 2^64 - 2^32 + 1)上のQFS-zkVMゼロ知識実行証明、Q-SAFAメモリ認証、およびPHOENIX_BRIDGE / PHOENIX_ROUTER暗号ゲートを統合し、外部サーバーのセッション終了後状態S_postと未公開原稿Mの相互情報量を厳密にゼロ(I(M; S_post) = 0)とする「平文ゼロ残留性」および推論完了と同時のエフェメラル鍵破壊を保証する。さらにHuman-in-Command(HIC)ハードウェア署名インターロックとStrict No-Learn Covenant(NLL-v1.0-2026)により、事前の明確な合意と正当な対価なきAI学習・データ収奪を物理的・制度的に完全遮断する。