A methodology for tracking and analysing the needs for standardization and certification harmonization thorough the project life cycle will be defined and enforced, which will allow the early identification of issues related to the conceptualization, design, implementation, integration and deployment of tools for support the EU disaster resiliency; which will be facilitated by a complete consultation strategy to the different stakeholders that are expected to act at each capability development phase, ranging from providers to end users. On these grounds H2020-VALKYRIES will develop, integrate and demonstrate capabilities for enabling immediate and coordinated emergency response including search and rescue, security and health, in scenarios of natural/provoked catastrophes with multiple victims, with special application in cases in which several regions or countries are affected and hence greater interoperability being required. H2020-VALKYRIES will propose both design and development of a modular, interoperable, scalable and secure platform, which will allow the integration between legacy solutions and new technologies. The platform will be able to deploy services and dynamically adapt its behaviour, as the emergency requires it. A series of use cases and demonstrators will be developed placing an emphasis on cross-frontier and cross-sectorial BLOS (Beyond Line of Sight) scenarios, where the usual communications infrastructure could have been damaged, and emergency response teams are deployed without an accurate view of the operation environment

Artificial intelligence (AI) has lately proved to be a coin with two sides. On the one hand, it can be leveraged as a powerful defensive mechanism to improve system preparedness and response against cyber incidents and attacks, and on the other hand, it can be a formidable weapon attackers can use to damage, compromise or manipulate systems. AI4CYBER ambitions to provide an Ecosystem Framework of next-generation trustworthy cybersecurity services that leverage AI and Big Data technologies to support system developers and operators in effectively managing robustness, resilience, and dynamic response against advanced and AI-powered cyberattacks. The project will deliver a new breed of AI-driven software robustness and security testing services that significantly facilitates the testing experts work, through smarter flaw identification and code fixing automation. Moreover, the project will provide cybersecurity services for comprehension, detection and analysis of AI-powered attacks to prepare the critical systems to be resilient against them. Incident response support by AI4CYBER will offload security operators from complex and tedious tasks offering them mechanisms to optimize the orchestration of the most appropriate combination of security protections, and continuously learn from system status and defences’ efficiency. The AI4CYBER framework will ensure fundamental rights and values-based AI technology in its services, through the integration of demonstrable explainability, fairness and technology robustness (security) capabilities in the AI4CYBER components. The ecosystem will be validated in three scenarios: i) Detection and Mitigation of AI-powered Attacks against the Energy Sector, ii) Robustness and autonomous adaptation of Banking applications to face AI-powered attacks and iii) Resilient hospital services against advanced and AI-powered cyber-physical attacks.

Hospitals and care centres are prime targets for cyber criminals, especially concerning data theft, denial-of-service and ransomware. This reflects the need of Healthcare Institutions for a Holistic Cyber Security vulnerability assessment toolkit, that will be able to proactively assess and mitigate cyber-security threats known or unknown, imposed by devices and services within a corporate ecosystem. SPHINX aims to introduce a Universal Cyber Security Toolkit, thus enhancing the cyber protection of Health IT Ecosystem and ensuring the patient data privacy and integrity. SPHINX toolkit will provide an automated zero-touch device and service verification toolkit that will be easily adapted or embedded on existing, medical, clinical or health available infrastructures, whereas a user/admin will be able to choose from a number of available security services through SPHINX cyber security toolkit. The SPHINX toolkit will enable service providers to specify complete services and sell or advertise these through a secure and easy to use interface. SPHINX Toolkit will be validated through pan-European demonstrations in three different scenarios. The operational properties of the proposed cyber-security ecosystem and overall solution will be validated and evaluated against performance, effectiveness and usability indicators at three different countries (Romania, Portugal and Greece). Hospitals, care centers and device manufacturers participating in the project’s pilots will deploy and evaluate the solution at business as usual and emergency situations across various use case scenarios.

The PharmaLedger project will create a blockchain-based framework for the efficient digitization of the healthcare industry. The goal of the project is to provide a widely trusted platform that will support the design and adoption of blockchain-enabled healthcare solutions while accelerating delivery of innovation that will benefit the entire ecosystem, from manufacturers to patients. PharmaLedger will serve as a single source of truth for the healthcare ecosystem and will be designed for efficient decentralized governance, wide adoption by the stakeholders of the ecosystem, compliance with extant and emerging standards and regulation, and end-to-end connectivity and interoperability. Sustainability of the platform will be ensured by leveraging existing, successful blockchain technologies; open source reference implementation; and a fully documented, actionable methodology for evolutionary digitization of the healthcare industry. The project will address the key challenges of the healthcare ecosystem through prioritized delivery of applications and validation of business use cases, including but not be limited to end-to-end product tracking for combating counterfeit medicines and medical supplies; supply chain integrity; efficiency of recruitment and submission in clinical trials; and machine-learning health data marketplaces. The platform will support integrated use of medical devices across the use cases. The PharmaLedger project brings together 28 partners from 10 EU Member States, including 11 large pharmaceutical companies; highly innovative technology SMEs specializing in blockchain development, security, privacy and business intelligence; universities and research institutes specializing in pharmacoeconomic analysis, research of patient requirements, big data analytics and electronic health records; leading clinical trials companies; supply chain partners; patient representatives; and leading healthcare service providers.

Improving the CI capacities at preparedness, detection and response phases requires the attention to the human factor as well as the collaboration of heterogeneous organisations involved in the CI development and operation, ensuring a continuum of care, just as it is done for other ICT systems with the adoption of SecDevOps approaches. DYNABIC Consortium believes that the adoption of defensive AI and novel approaches to continuous business risk management based on enhanced SecDevOps can drastically improve critical services resilience. Furthermore, AI-based self-healing and autonomous response automation can greatly help to achieve fast and efficient recovery and enable the provision of fully resilient critical services to European citizens. The strategic objective of DYNABIC is to increase the resilience and business continuity capabilities of European critical services in the face of advanced cyber-physical threats. This objective will be pursued by delivering new socio-technical methods, models and tools to support resilience through holistic business continuity risk management and control in operation, and dynamic adaptation of responses at system, human and organization planes. DYNABIC will deliver the DYNABIC Framework that will enable OES to predict, quantitatively assess and mitigate in real-time business continuity risks and their potential cascading effects. Furthermore, it will enable the dynamic autonomous adaptation of critical infrastructures to meet Resilience goals by the automatic optimization and orchestration of response strategies. The DYNABIC framework will be validated in two types of demonstrations: i) Smart Preparedness, prevention and Response to Business Disruption risks in 4 critical infrastructures and supply chains (EV charging stations, Critical transport services, Telco services, and Hospital services), and i) Smart Preparedness and Response to Cascading Business Disruption risks in interconnected CIs.