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SENTINEL - Approachable, tailor-made cybersecurity and data protection for small enterprises

Authors: Trantidou, Tatiana; Bravos, George; Valoggia, Philippe; Skourtis, Ioannis; Falelakis, Manolis; Poulios, Kostas; Spais, Ilias; +7 Authors

SENTINEL - Approachable, tailor-made cybersecurity and data protection for small enterprises

Abstract

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.

Keywords

self-compliance, cybersecurity, AI, identity management, cyberthreat intelligence, artificial intelligence, privacy and data protection

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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4
Top 10%
Average
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3
37