SemCrys-Secure: Toward Governed Semantic Transport and Authorization-Scoped Semantic Interpretability for Machine Cognition introduces a semantic-layer security framework for large language model communication in which semantic interpretation itself becomes authorization-scoped, rotation-aware, and cryptographically mediated. Emerging from the symbolic compression mechanisms of SemCrys0 and the semantic-native representation framework proposed by SemCrys, the paper extends semantic systems into governed semantic transport and semantic access architecture. The framework distinguishes between conventional cryptographic confidentiality and semantic accessibility, arguing that secure communication systems currently protect byte transport while leaving semantic interpretation universally accessible once decrypted. SemCrys-Secure proposes a second-layer semantic authorization system in which reliable semantic reconstruction depends upon possession of valid semantic interfaces, rotational mappings, admissible decoding pathways, and cryptographically governed semantic schedules. The paper formalizes concepts including: governed semantic transport authorization-scoped semantic interpretability rotating semantic encoding semantic residue minimization semantic interfaces semantic pathway governance semantic admissibility systems keyed semantic addressability semantic constitutionalization SemCrys-Secure does not claim cryptographic indistinguishability or perfect semantic secrecy. Instead, it proposes a semantic security model designed to increase inference cost, reduce passive interpretability, destabilize statistical semantic recovery, and constrain reliable semantic reconstruction for unauthorized observers. The work situates itself within the historical lineage of cryptography, pasigraphy, symbolic language systems, and steganography while extending these traditions into machine-native semantic communication systems. The paper further explores threat models involving statistical semantic inference, model-in-the-loop adversaries, semantic replay attacks, prompt probing, and semantic pathway discovery. It proposes incremental implementation pathways compatible with existing language-model infrastructures and introduces governance-oriented approaches to semantic authorization and semantic access control. SemCrys-Secure forms part of a broader semantic systems stack: SemCrys0 — protocol-level semantic compression SemCrys — semantic-native representation substrate SemCrys-Secure — governed semantic access and semantic transport Its central claim is that semantic interpretation itself may become a governed computational surface, enabling new classes of machine-native semantic communication and authorization systems.
Adam Ableman Mazurk (Mon,) studied this question.