Francesco Marrapodi
Multicloud Security Management: Enhancing Security by Design and AI-oriented Assessment Frameworks for Enterprise Infrastructures.
Rel. Fulvio Valenza. Politecnico di Torino, Corso di laurea magistrale in Cybersecurity, 2026
|
|
PDF (Tesi_di_laurea)
- Tesi
Accesso limitato a: Solo utenti staff fino al 27 Settembre 2027 (data di embargo). Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (2MB) |
Abstract
This thesis addresses the growing complexity of securing modern enterprise infrastructures by proposing and implementing automated, security frameworks for multicloud environments. As organizations shift from traditional on-premise systems to multiple cloud architectures involving AWS, Azure, and GCP, manual security management becomes prone to errors and "visibility gaps" . The first phase of the work involved the transition of Azure Policy governance from a manual process to a centralized, code-driven model named Enterprise Azure Policy as Code (EPAC). This framework replaces manual "ClickOps" procedures, utilizing Azure DevOps to manage policy definitions, initiatives, assignments, and exemptions as software artifacts. This implementation enables idempotent policy deployments that eliminate configuration drift and reduces "shadow governance".
The second phase addressed the "visibility gap" in multicloud telemetry through the design and deployment of an AI-driven orchestration framework
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Corso di laurea
Classe di laurea
Aziende collaboratrici
URI
![]() |
Modifica (riservato agli operatori) |
