Cybersecure tools, technologies and services relying on AI

Scope: Actions in this topic should develop and deploy systems and tools for cybersecurity[1], based on AI technologies[2], addressing aspects such as threat detection, vulnerability detection, threat mitigation, incident recovery through self-healing, data analysis and data sharing. These activities must also comply with intellectual property rights (IPR) and the GDPR, depending on the type of information handled. The AI solutions proposed should also be cybersecure. Activities should include at least one of the following: Continuous detection of patterns and identification of anomalies that can potentially indicate emerging threats, recognising new attack vectors and enabling advanced detection in an evolving threat landscape, including in ICT or in Operational Technology infrastructures using open technologies. Creation of CTI based on novel threat detection capabilities Enhancing speed of incident response through real-time monitoring of networks to identify security incidents and generating alerts or triggering automated responses. Mitigating malware threats by analysing code behaviour, network traffic, and file characteristics, reducing the window of opportunity for attackers to exploit malware. Identification of vulnerabilities and support for management considering multiple sources of information. Cybersecure tools and solutions that provide risk-reduction in the crossover between AI, IoT and smart grids or other manufacturing chains. Support for recovery from incide…

Il testo completo, i requisiti di partecipazione e i documenti da allegare sono disponibili nell’analisi guidata. Registrati gratis.