The aforementioned solutions are being developed, implemented and evaluated in the following EU research projects:
enhances the capabilities of stakeholders, implementing (a) collaborative threat intelligence collection, analysis, and sharing; (b) innovative risk analysis specifically designed for interconnected nodes of an industrial ecosystem; (c) cutting-edge trust and accountability mechanisms for data protection and (d) security awareness training for more informed security choices.
addresses the challenges of IoT- and AI-driven ICT systems through a collaborative-first approach centred around computer security incident response teams (CERTs/CSIRTs). Specifically, the project equips CERTs/CSIRTs with a state-of-the-art incident response toolkit for assessing, detecting, responding to, and sharing information regarding threats and vulnerabilities of IoT and AI-driven ICT systems.
develops a scalable framework for processing data stored in federated cross-border data spaces. The ENCRYPT framework will provide a recommendation engine for end users to personalise their privacy preferences based on the sensitivity of their data and the trade-off between security and performance. In-lab tests and real-world use cases across various sectors (health, cybersecurity and finance) will validate the framework.
combines the two fields of business continuity management (BCM) and cyber threat intelligence (CTI) to generate a situational awareness picture for decision support across all stages of the resilience cycle (prepare, prevent, protect, response, recover).
develops a Water Data Management Ecosystem (WDME) for making data management practices and resources in the water sector accessible, affordable, secure, fair, and easy to use, improving usability of data and the interoperability of data-intensive processes, thus lowering the entry barrier to data spaces, enhancing the resilience of water utilities and boosting the perceived value of data and therefore the market opportunities behind it.