AI Security Measures Needed Now — Beyond Detection and Blocking —
Abstract
This paper proposes a structural security framework for AI systems based on Yuuki Theory / ExMachina. Unlike conventional security approaches that focus on detection, blocking, or post-incident response, this work addresses security failures that occur before semantic interpretation begins. By isolating the pre-semantic layer (Layer 0) and suppressing uncontrolled semantic relayout (ExMachina Ωv3), the proposed model prevents entire classes of security incidents by design. This repository includes: - The full paper (PDF / DOCX) - Conceptual explanations of Layer 0 security - Structural defense models against inference-based attacks - Reference HTML tools for independent inspection License: CC BY-NC 4.0 Independent verification and discussion are encouraged.
Fields of Study & Subjects
Adversarial Robustness in Machine Learning
Security and Verification in Computing
Information and Cyber Security
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 17 January 2026
- Document type
- Preprint