Resilmesh
RUNNING TIME:
10/2023
—
09/2026
Total project duration:
3 Years
The project
ResilMesh revolutionizes the protection of critical digital infrastructures by advancing cybersecurity awareness through its innovative Security Orchestration and Analytics Platform Architecture (SOAPA). With tools designed to manage complexity, combat advanced persistent threats, and adapt to evolving architectures, ResilMesh empowers organizations to proactively mitigate risks, reduce attack surfaces, and embrace zero-trust frameworks for a secure digital future.
Our activities in the project
JOANNEUM RESEARCH R contributes by enhancing cybersecurity in industrial control systems through advanced incident detection and automated penetration testing powered by reinforcement learning and LLMs. Tasks include developing an automated IoT discovery tool and leveraging AI/ML technologies like multi-view edge-based anomaly detection, reinforcement learning, and embedded AI to improve security and resilience in critical infrastructures.
Research groups
Downloads
Customers
EU HEU
Project partners
Coordinator: Technological University of the Shannon (TUS), Ireland
GMV SOLUCIONES GLOBALES INTERNET SAU (GMV), Spain
Masarykova univerzita (MUNI), Czech Republic
SILENT PUSH LIMITED, Ireland
F6S NETWORK, Ireland
UNIVERSIDAD DE MURCIA (UMU), Spain
JYVASKYLAN AMMATTIKORKEAKOULU OY (JAMK), Finland
ALIAS ROBOTICS S.L., Spain
INFOCERT, Italy
REGION DE MURCIA, Spain
KENTRO MELETON ASFALEIAS (KEMEA), Greece
MONTIMAGE EURL, France
RHUL ROYAL HOLLOWAY AND BEDFORD NEW COLLEGE, UK
