Information Leakage Mitigation: Implementing Security and Data Governance Solutions
In the digital age, data protection is crucial for large enterprises, especially in the face of increasing cyber threats and strict regulations like GDPR. This thesis focuses on identifying, classifying, and protecting sensitive data within Damm by implementing advanced data protection measures usin...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/424646 |
| Acceso en línea: | https://hdl.handle.net/2117/424646 |
| Access Level: | acceso embargado |
| Palabra clave: | Computer security Data protection Sensitive data Data classification Microsoft Purview Data Loss Prevention (DLP) GDPR compliance Cybersecurity Protección de datos Datos sensibles Clasificación de datos Prevención de Pérdida de Datos (DLP) Cumplimiento del RGPD Ciberseguridad Seguretat informàtica Protecció de dades Àrees temàtiques de la UPC::Informàtica::Seguretat informàtica |
| Sumario: | In the digital age, data protection is crucial for large enterprises, especially in the face of increasing cyber threats and strict regulations like GDPR. This thesis focuses on identifying, classifying, and protecting sensitive data within Damm by implementing advanced data protection measures using Microsoft Purview. The project involved a thorough assessment of data leakage risks, followed by the development and deployment of customized Data Loss Prevention policies and sensitivity labels. These labels were applied to ensure proper data classification and protection across the organization. The results demonstrated a significant improvement in safeguarding sensitive information and positive feedback from users regarding the ease of use and effectiveness of the new tools. This work not only ensures compliance with regulatory requirements but also enhances Damm's overall data security and operational efficiency. |
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