Objective
Organizations worldwide struggle to measure and document the security behaviours of their employees, effectively making it impossible to know the impact of their security awareness training programs. Human error is the main source of cybersecurity incidents, and a reduction by only a few percents could translate into millions of Euros every year.
Current suppliers of Security Awareness Computer Based Training (CBT) provide training content, without being able to demonstrate end user behavioural change, only measuring training attendance or specific behaviours (pshishing assessments) that do not describe the complete use behaviours.
In contrast with existing solutions, the CLTRe Toolkit is assessing the actual ideas, habits and behaviours of the employees in order to measure and improve the security culture of an organisation. The solution stores behavioural assessments over time to provide the organization with trend analysis in order to understand behavioural change over time. CLTRe offers the first the application of social sciences to measure and improve the security culture of an organization, based on a robust framework and a comprehensive toolkit. The CLTRe approach addresses the €2.6B security computer-based training and can help reduce the 121M data breaches recorded in 2015. The CTLRe toolkit leverages the existing footprint of the Security Culture Framework (a free tool developed by CTLRe and already used by 20,000 users). The phase 1 project will validate the technical and commercial feasibility of a cybersecurity behavioural toolkit offered as Software as a Service. The project will confirm the market interest (competitive analysis, willingness to pay) and recruit corporate organizations willing to trial the prototype.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences data science
- natural sciences computer and information sciences software
- social sciences economics and business business and management business models
- natural sciences computer and information sciences computer security
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
MAIN PROGRAMME
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H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
SME-1 - SME instrument phase 1
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-SMEInst-2016-2017
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
0160 OSLO
Norway
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.