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EXUS as partner

Enhancing Robustness and Security of Edge AI Systems for Safety-Critical Applications

EXUS is developing an AI-based recommendation engine allowing software designers to identify the main cybersecurity threats pertinent to their deployments and select the optimal set of cyberdefence mechanism mitigating those threats.

Numbers

1/10/2024-30/9/2027

Project duration

4,316,775.00

Overall Budget

HORIZON-CL3-2023-CS-01-03

Topic

Impact

The AI-based Recommendation Engine for the mitigation of cybersecurity risks can significantly improve the security of critical software infrastructure, democritising access to the optimal set of cybersecurity mechanisms suitable to reduce risks.

UNIVERSITY OF CYPRUS (UCY-KIOS CoE)
ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS (ATHENA)
ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS (CERTH)
UNIVERSITAT WIEN (UNIVIE)
CONSORZIO NAZIONALE INTERUNIVERSITARIO PER LE TELECOMUNICAZIONI (CNIT)
SPACE HELLAS ANONYMI ETAIREIA SYSTIMATA KAI YPIRESIES TILEPIKOINONIONPLIROFORIKIS ASFALEIAS
EXUS SOFTWARE MONOPROSOPI ETAIRIA PERIORISMENIS EVTHINIS (EXUS),
EIGHT BELLS LTD (EIGHT BELLS LTD)
CYPRUS ORGANISATION FOR STANDARDISATION (CYS)

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