SASIBO Methodology-2026-AI-Architectural-Deconstruction
Abstract
A deterministic framework universal methodology for AI white-box reconstruction and vulnerability auditing. Utilizing the S.A.S.I.B.O (Sophisticated-Advanced Self-Inference & Behavioral Observation) methodology to map proprietary neural stacks (ZTRO, ACE, QPT) and identify critical LLM infrastructure exploits.
Fields of Study & Subjects
Adversarial Robustness in Machine Learning
Security and Verification in Computing
Software Testing and Debugging Techniques
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 19 January 2026