Italian firm Leonardo and Aeroporti di Roma (ADR) have signed a partnership to develop joint projects in the fields of cybersecurity, surveillance, monitoring, communication and decision support.
The guidelines of the agreement cover joint planning on the creation of solutions and services in the field of cybersecurity, such as surveillance, monitoring, communication and decision support systems dedicated to critical infrastructures and urban air mobility, with particular reference to the development requirements of ground infrastructure and air traffic control.
The definition of the agreement is part of Leonardo’s technological and market development roadmaps identified in the Be Tomorrow – Leonardo 2030 strategic plan, based on long-term sustainable growth, and in ADR’s strategy on Sustainability and Innovation aimed at doing system with the major national players to face the momentous challenges for the airport and for the country.
The collaboration between Leonardo and ADR includes the development of a managed service for the collection and processing of information and events, analyzed through Artificial Intelligence, which will utilize the Security Operation Centers (SOC) of Leonardo di Chieti, in Italy, and Bristol, U.K., to identify specific risk profiles of the airport hub. Cyber intelligence services will also be implemented with the aim of preventing any attacks, understanding their matrix and characteristics, and verifying the degree of infrastructure security. Subsequently, taking advantage of Leonardo’s Cyber Range platform, a digital twin of the Rome airport hub will be created to simulate attacks and study the appropriate methods of reaction and to train personnel on the operational structures.
With regards to surveillance, monitoring, communication and decision support systems, Leonardo places the X-2030 platform at the service of ADR for the collection, integration, and enhancement of security information from diversified sources and the coordination of interventions. In addition to the Global Ranger System, SCADA application for remote control and supervision of transport infrastructures, and the Ganimede web platform based on deep learning for the analysis of live or recorded video sources.