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