Early Warning System for Critical Infrastructures

The European Union cofunded project that protects our industry 

The Project

The Early Warning System for Critical Infrastructures funded by the Digital Europe Programme, is an innovative research framework designed to early detect cybersecurity attacks and supply chain risks in industrial environments. It leverages the characterization of critical infrastructure to create a hybrid and adaptive digital twin model.

This model seamlessly integrates physical process control components with digital elements that are exposed to the Internet, by creating a system capable of tricking attackers into thinking it is a real environment and thus revealing themselves at the early stage of recognition.

This highly innovative project is co-funded under Grant agreement No. 101145867 and is supported by the European Cybersecurity Competence Centre. 

The grant was signed by BeDisruptive Italy the 21st of December and activities begun the 1st of January 2024 and will last for 36 months. 


Our Goal

The main objective of the project is to bolster the development of a robust cybersecurity infrastructure across Europe, boosting the evolution is an evolution of cyber security in the global industrial environment, by directly extracting real threat intelligence and alerting customers, analyzing their security gaps, and preventing potential attacks, being an early warning system/tool for CSIRTs that serve Critical Infrastructure communities in the EU. 

One of the unique features of Early Warning System for Critical Infrastructures is its ability to be present through virtualized networks in various locations across the Internet.

The research

The implementation of the Early Warning System for Critical Infrastructures is grounded on real information provided by process experts and automation and control engineers. The System meticulously records all the adversary’s movements, including industrial protocol-level conversations, during the phase and the rest of the 6 phases of an attack against European critical infrastructure. 

The proposal also aims to create more scenarios which will be used for companies to test and for training purposes, creating tools that detect threats by assigning weights based on frequency and potential risk. The information collected will detect the different IoCs from the observation of aggregated data. The project envisages the training of data with learning algorithms based on the security context of the characterized infrastructure, considering factors such as the different industrial processes it runs, security policies applied and previous incidents. This ensures that the Early Warning System for Critical Infrastructures Project remains at the forefront of cybersecurity in industrial environments in Europe


We are currently conducting the first studies. We hope to be able to show the results soon. Please follow us on our social media to be updated. Thank you for your patience. 

  • Results coming out soon

Contact us.

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The project is co-financed through grant agreement No. 101145867 and is supported by the European Cybersecurity Competence Centre. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Cybersecurity Competence Centre. Neither the European Union nor the European Cybersecurity Competence Centre can be held responsible for them.


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