Categorical Framework for Quantum-Resistant Zero-Trust AI Security

This is a zero-star academic paper proposal (not a deployed project) combining three established domains: post-quantum cryptography, zero-trust security, and category theory. While the combination is intellectually interesting, the project has no production implementation, no adoption metrics, and no released code. The 4 forks suggest academic interest only, not engineering traction. The category-theoretic framing is novel but primarily theoretical—it does not appear to yield practically superior security outcomes over existing PQC + ZTA stacks (which are already mature and deployed at scale by major labs and enterprises). Frontier labs (Anthropic, OpenAI, Google) are actively deploying post-quantum cryptography and zero-trust systems independently; they would view a formal category-theoretic reframing as a theoretical contribution at best, not a practical security advantage. The paper likely positions this as a principled unification, but without reference implementations or empirical evidence of defensive superiority, it remains an academic exercise. High frontier risk because major AI labs are already shipping quantum-resistant crypto and fine-grained access control via conventional engineering; this framework adds formalism but not irreplaceable capability. Defensibility is low: the theoretical ideas could be replicated by any team with domain expertise in PQC, ZTA, and category theory, and the practical payoff is unclear.