SENTINEL - Approachable, tailor-made cybersecurity and data protection for small enterprises
Creators
- 1. Information Technology for Market Leadership (ITML), Athens Greece
- 2. Luxembourg Institute of Science and Technology Esch/Alzette, Luxembourg
- 3. Institute of Digital Innovation and Research (IDIR) Limited Dublin, Ireland
- 4. Intrasoft International Luxemburg
- 5. Sphynx Technology Solutions AG, Switzerland
- 6. AEGIS IT Research Braunschweig, Germany
- 7. Technical University of Crete Chania, Greece
- 8. AIRBUS CyberSecurity Elancourt, France
- 9. CTS-UNINOVA and School of Science and Technology, NOVA University of Lisbon Caparica, Portugal
- 10. ClinGenics London, United Kingdom
- 11. Tristone Capital Ltd Manchester, United Kingdom
- 12. Centre for European Constitutional Law Athens, Greece
- 13. Focal Point sprl Braine l'alleud, Belgium
Description
Over 25 million Small and Medium Enterprises (SMEs) in Europe face multiple challenges related to personal data protection (PDP), ranging from awareness of EU’s General Data Protection Regulation (GDPR) to a clear and practical roadmap to compliance. Many also cannot afford access to enterprise-grade cybersecurity technology. This paper presents the main objectives and innovations of the EU-funded SENTINEL project, which introduces the concept of Intelligence for Compliance; it integrates tried-and-tested modular cybersecurity and privacy technologies with fresh, ambitious ones, such as a novel Identity Management System (IdMS) for human-centric data portability, and an end-to-end PDP compliance self-assessment framework. Combined with machine learning powered recommendations, policy drafting and enforcement for compliance, and a set of plugins that contains cybersecurity, data privacy and simulations/training software tools, SENTINEL aims to help small enterprises feel considerably more secure by safeguarding their and their customers’ assets.
Files
SENTINEL - Approachable, tailor-made -Final.pdf
Files
(482.0 kB)
Name | Size | Download all |
---|---|---|
md5:ac16f61a5c536cc575cc3b4c7245b234
|
482.0 kB | Preview Download |