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Do we have effective systems for responding to cyber threats and incidents?

The exponential development of ITC systems based on Artificial Intelligence and the Internet of Things (IoT) is in front of all of us. In order to be ready to embrace and make the most of the changes it brings, the recognition of the full potential and the benefits of these systems must go hand in hand with the awareness that they may be exposed to certain risks, such as cyber attacks. To protect critical infrastructures from such dangers, it is necessary to build an effective cybersecurity system that can not only prevent threats and reduce vulnerabilities, but also immediately remediate incidents that may affect such systems. Understanding how important it is to address these challenges, CyberEthics Lab. is a partner in the IRIS (artificial Intelligence, threat Reporting, and Incident response System) project, which aims to develop a framework that can support security practitioners, particularly CERTs (Computer Emergency Response Teams) and CSIRTs (Computer Security Incident Response Teams) in managing privacy and cybersecurity risks through the creation of a platform that can detect and respond to these threats in an immediate, effective, and "human-centric" manner. In this context, it is necessary to recognize the critical role of thought and action that is aware of the ethical, legal and social considerations that arise when it comes to privacy and security in the fields of IoT and Artificial Intelligence. To ensure that this happens, the multidisciplinary CyberEthics Lab. team is in charge of making sure that the IRIS research activities are carried out not only with respect for the ethical fundamentals and the right regulatory framework, but also with the utmost consideration of the social impacts of the technological innovations involved in the development of the IRIS platform, which will then be validated through three realistic Pilot Use Cases in the smart cities of Helsinki, Tallinn and Barcelona.   Website: https://www.iris-h2020.eu/ This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no 101021727.