Diamond Integrity Architecture A Structural Cybersecurity Framework for the AI Era
Fuente:
Zenodo
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Recurso digital |
| Lenguaje: | inglés |
| Publicado: |
Zenodo
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866901412129013760 |
|---|---|
| author | Jaspers, Koen |
| author_facet | Jaspers, Koen |
| contents | <h2><strong>Abstract</strong></h2> <p>The emergence of AI-driven software agents introduces a new class of cybersecurity risk. Unlike traditional malware, AI-enabled threats adapt, self-modify, exploit ambiguity, and operate through legitimate interfaces rather than overt exploitation. Existing cybersecurity models—largely based on signature detection, perimeter defense, and binary trust assumptions—are insufficient against these behaviors.</p> <p>This paper introduces <strong>Diamond Integrity Architecture (DIA)</strong>: a structural cybersecurity framework designed for systems that must remain safe under adaptive, ambiguous, and AI-mediated conditions. Rather than attempting to identify malicious content or intent, DIA enforces <strong>identity preservation, phase-aware operation, and fail-closed behavior</strong> at the architectural level. The framework is domain-independent and applies to AI agents, automated systems, cloud services, and critical infrastructure.</p> <p>DIA reframes cybersecurity as a problem of <strong>structural coherence under change</strong>, rather than adversarial prediction. It is compatible with existing security tools and focuses on preventing unsafe action even when threats appear legitimate.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18189704 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Diamond Integrity Architecture A Structural Cybersecurity Framework for the AI Era Jaspers, Koen AI cybersecurity adaptive systems fail-closed security ai governance system integrity resilience architecture <h2><strong>Abstract</strong></h2> <p>The emergence of AI-driven software agents introduces a new class of cybersecurity risk. Unlike traditional malware, AI-enabled threats adapt, self-modify, exploit ambiguity, and operate through legitimate interfaces rather than overt exploitation. Existing cybersecurity models—largely based on signature detection, perimeter defense, and binary trust assumptions—are insufficient against these behaviors.</p> <p>This paper introduces <strong>Diamond Integrity Architecture (DIA)</strong>: a structural cybersecurity framework designed for systems that must remain safe under adaptive, ambiguous, and AI-mediated conditions. Rather than attempting to identify malicious content or intent, DIA enforces <strong>identity preservation, phase-aware operation, and fail-closed behavior</strong> at the architectural level. The framework is domain-independent and applies to AI agents, automated systems, cloud services, and critical infrastructure.</p> <p>DIA reframes cybersecurity as a problem of <strong>structural coherence under change</strong>, rather than adversarial prediction. It is compatible with existing security tools and focuses on preventing unsafe action even when threats appear legitimate.</p> |
| title | Diamond Integrity Architecture A Structural Cybersecurity Framework for the AI Era |
| topic | AI cybersecurity adaptive systems fail-closed security ai governance system integrity resilience architecture |
| url | https://doi.org/10.5281/zenodo.18189704 |