AI in Quantum Secured Networking
UMNAI’s Andrew Farrugia took part in a panel discussion on “Emerging Technologies in Cybersecurity” at the Cybersecurity and Quantum-Secured Networking Seminar, organised by the PRISM project and held at the University of Malta.
The panel included Noel Farrugia (Merqury Cybersecurity), Angele Giuliano (Across Limits), Simon Montanaro (Melita), and Trevor Sammut (MDIA) and was moderated by Jamie Tabone (RSM).
Noel and Angele discussed how quantum communication is one of the focal points for European technology sovereignty, both from a technical and political standpoint - following on from the seminar’s introductory message from Roberta Metsola, President of the European Parliament. Simon and Trevor shared their thoughts on their experience building and running networks and data centres from the private sector and public sector points of view. Andrew discussed the role of AI in Cybersecurity and how AI is being deployed in the PRISM project.
The PRISM project will build a quantum-secured network in Malta, in the spirit of the EuroQCI initiative. The network would be the first of its kind in Europe, bringing Malta into the quantum age. PRISM will deploy a large-scale quantum network spanning the entire country. The project’s conclusion will see quantum key distribution systems that are self-contained, trustworthy, and ideally poised to be rolled out throughout the European and international markets.
Within the PRISM project, UMNAI is deploying its Hybrid Intelligence AI technology to predict the demand for quantum keys across the network, ensuring that each node has sufficient keys to operate; and also to determine the optimal paths for key distribution throughout the network. The aim is to leverage AI to maximise the efficiency and utilisation of the network in a manner that is scalable with network size.
UMNAI’s Neuro-symbolic AI and Hybrid Intelligence Framework are particularly suited to the application of AI in critical infrastructure and other highly regulated industries.
Contact us if you would like to learn more about Hybrid Intelligence or if you have an application that could benefit from UMNAI’s Neuro-Symbolic AI.
This project is co-funded by the European Union under the Digital Europe Programme grant agreement number 101111875.
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 Commission. Neither the European Union nor the granting authority can be held responsible for them.