CyberKit4SME aims to democratize a kit of cyber security tools and methods enabling SMEs/MEs to: Increase awareness of cybersecurity risks, vulnerabilities and attacks; Monitor and forecast risks; Manage risks using organisational, human and technical security measures with greater confidence; and Collaborate and share information in a collective security and data protection effort. Tools developed in the project are: Semi-automated ISO 27005 threat identification and risk mitigation analysis, using a knowledge base of technical and human/organisational risk factors; Encryption and isolation tools to protect data being stored, processed or exchanged; Security information and event management, using multiple data sources for threat detection and diagnosis, Blockchain tools for SMEs/MEs to share intelligence and incident reports with supply chain partners and with CERTs. CyberKit4SME will make its tools cheaper and more usable by SME/ME, by 1) Exploiting synergies between tools in the kit to simplify the use of each; 2) Sharing information to increase the data available for threat detection and diagnosis at each SME/ME; 3) Embedding intelligence (e.g. machine reasoning and data analytics), to fill gaps in inputs and automate tasks such as risk analysis and security configuration. The project will also use its tools and cyber range demos to train SMEs/MEs to identify their top threats and recognise and address them with greater confidence. Results will be validated by SME/ME in four critical sectors: Finance, Health Care, Energy and Transport. Outcomes include reducing the time/cost of cyber security awareness and protection, simplifying meeting and demonstrating compliance with NIS Directive and GDPR, protecting distributed assets from cloud services to edge devices, and engaging in secure supply chains with larger organisations. The project will also collaborate with related research projects and disseminate widely in the scientific community and in SME networks.

The project aims at producing a European Cloud Database Appliance for providing a Database as a Service able to match the predictable performance, robustness and trustworthiness of on premise architectures such as those based on mainframes. The project will evolve cloud architectures to enable the increase of the uptake of cloud technology by providing the robustness, trustworthiness, and performance required for applications currently considered too critical to be deployed on existing clouds. CloudDBAppliance will deliver a cloud database appliance featuring: 1. A scalable operational database able to process high update workloads such as the ones processed by banks or telcos, combined with a fast analytical engine able to answer analytical queries in an online manner. 2. A Hadoop data lake integrated with the operational database to cover the needs from companies on big data. 3. A cloud hardware appliance leveraging the next generation of hardware to be produced by Bull, the main European hardware provider. This hardware is a scale-up hardware similar to the one of mainframes but with a more modern architecture. Both the operational database and the in-memory analytics engine will be optimized to fully exploit this hardware and deliver predictable performance. Additionally, CloudDBAppliance will deal with the need to tolerate catastrophic cloud data centres failures (e.g. a fire or natural disaster) providing data redundancy across cloud data centres.

Triple-A has a very practical result-oriented approach, seeking to answer three questions: - How to assess the financing instruments and risks an early stage? - How to agree on the Triple-A investments, based on selected key performance indicators? - How to assign the identified investment ideas with possible financing schemes? The Triple-A scheme is introduced, compromising three critical steps (answering each question), with the following main outputs: - Step 1 - Assess: Member States (MS) risk profiles and mitigation polices, including a Web based database, enabling national and sectoral comparability, market maturity identification, good practices experiences exchange, reducing thus uncertainty for investors. - Step 2 - Agree: Standardised Triple-A tools, efficient benchmarks, and guidelines, translated in consortium partners’ languages, accelerating and scaling up investments. - Step 3 - Assign: In-country demonstrations, replicability and overall exploitation, including recommendations on realistic and feasible investments in the national and sectoral context, as well as on short and medium term financing. The Triple-A case study countries were selected to promote diversity across a number of factors, including: a leading European economy (Germany), an innovation front-runner in energy (The Netherlands), a weak economy, went through one of the longest and most severe recessions (Greece), an economy with slow economic recovery (Italy), a diversified economy with a strategic geographical location having some of the largest European firms (Spain), a country that has experienced one of the fastest economic recoveries in Europe (Lithuania), a progressing country with a once sceptical stance towards low-carbon development (Czech Republic), and a country, recovering from a slow transition to a market economy, with growing regional strategic role and significant ambition towards EU processes (Republic of Bulgaria).