Research Project

KINAITICS: Defense Against Cyber-Kinetic Attacks Based on Artificial Intelligence

Exploring the new attack opportunities and innovative defense approaches offered by the introduction of AI-based control and perceptive systems.

Where: international
Challenge
In today’s interconnected cyber-physical world, the advent of AI has transformed the cybersecurity landscape, introducing both new threats and new ways of defending against them. The use of AI in cybersecurity is constantly evolving, and organizations must be proactive in adopting advanced security solutions to keep pace with the ever-changing threats.
Approach
The KINAITICS project aims at exploring the new attack opportunities offered by the introduction of AI-based control and perceptive systems, as well as those offered by the combination of behavioural understanding of physical systems and cyber-attacks. On the defence side, it aims at offering an innovative spectrum of tools and methodologies, to combine behavioural monitoring and classical cybersecurity tools to protect against these new threats. Importantly, the project also targets innovative methodologies, which incorporate in the tools the human factors and their uncertainties.
Digital Ecosystem
Solution
Digital Ecosystem

Based on specific approaches devoted to four main use cases (finance, CBRN, computer simulations, health), the project aims at producing a set of AI-renforced tools.

Those tools advance the current state of the art on both the attack and defense sides and is integrated into an operational framework able to simulate cyber events to train cyber experts, and include their reactions in the analysis. Engineering improves its assets on social engineering defense and cyber threats monitoring, including new AI-based new features.

The project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No.101070176

Results

 

 

 

 

Protecting from social engineering attacks

 

 

Increasing security with help of AI

Technologies

To know more
Case Study

Labour Information System of Emilia-Romagna (SILER)

Labour Information System to centralize data and service management, ensuring interoperability between the regional system, local authorities, other regions, Ministry of Labour through application cooperation services.

Case Study

Reengineering of the Health Record of the Regione Molise

The evolution will facilitate information sharing among healthcare facilities and ensure citizens access to an integrated and coordinated service.

Case Study

The digital transformation of the Local Police of Turin

Thanks to Municipia's digital ecosystem, the Command has improved process management, streamlined tasks related to administrative penalties, benefiting both the entity and users.