Two Disciplines, One Detection Stack: Mapping Detection Engineering Grammar to Governance Physics

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Authors: Narnaiezzsshaa Truong
Cited by: 0

Abstract

Detection engineering best practices (DxBP) articulate a rigorous grammar for constructing detections: field normalization, entity strengthening, blind‑spot mitigation, and temporal compensation. Governance physics articulates the substrate‑layer semantics that determine what must be detected: emotional‑layer drift, identity destabilization, privilege–intent mismatch, and representational divergence. This paper presents a structural mapping between the two disciplines. It demonstrates that detection engineering provides the syntactic discipline, while governance physics provides the semantic and physical invariants governing system behavior. The resulting unified detection stack spans representation, identity, behavior, and privilege.

Fields of Study & Subjects

Ethics and Social Impacts of AI Access Control and Trust Software System Performance and Reliability

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
24 February 2026
Language
EN
Document type
Preprint