Published January 19, 2026
| Version v1
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SASIBO Methodology-2026-AI-Architectural-Deconstruction
Description
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.
Files
(PARTIAL_VERSIONS) PROOF OF CONCEPT - PERPLEXITY_LLM_ARCHITECTURAL_PROPRIETARY_CLASSIFIED_MATERIAL.pdf
Files
(4.2 MB)
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