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| Funder | European Commission |
|---|---|
| Recipient Organization | Fundacion Tecnalia Research & Innovation |
| Country | Spain |
| Start Date | Sep 01, 2022 |
| End Date | Aug 31, 2025 |
| Duration | 1,095 days |
| Number of Grantees | 14 |
| Roles | Participant; Coordinator; Third Party |
| Data Source | European Commission |
| Grant ID | 101070450 |
Artificial intelligence (AI) has lately proved to be a coin with two sides.
On the one hand, it can be leveraged as a powerful defensive mechanism to improve system preparedness and response against cyber incidents and attacks, and on the other hand, it can be a formidable weapon attackers can use to damage, compromise or manipulate systems.
AI4CYBER ambitions to provide an Ecosystem Framework of next-generation trustworthy cybersecurity services that leverage AI and Big Data technologies to support system developers and operators in effectively managing robustness, resilience, and dynamic response against advanced and AI-powered cyberattacks.
The project will deliver a new breed of AI-driven software robustness and security testing services that significantly facilitates the testing experts work, through smarter flaw identification and code fixing automation.
Moreover, the project will provide cybersecurity services for comprehension, detection and analysis of AI-powered attacks to prepare the critical systems to be resilient against them.
Incident response support by AI4CYBER will offload security operators from complex and tedious tasks offering them mechanisms to optimize the orchestration of the most appropriate combination of security protections, and continuously learn from system status and defences efficiency.
The AI4CYBER framework will ensure fundamental rights and values-based AI technology in its services, through the integration of demonstrable explainability, fairness and technology robustness (security) capabilities in the AI4CYBER components.
The ecosystem will be validated in three scenarios: i) Detection and Mitigation of AI-powered Attacks against the Energy Sector, ii) Robustness and autonomous adaptation of Banking applications to face AI-powered attacks and iii) Resilient hospital services against advanced and AI-powered cyber-physical attacks.
Caixabank Sa; Unidade Local de Saude Do Alentejo Central Epe; Panepistimio Dytikis Makedonias; Dimosia Epicheirisi Ilektrismou Anonymi Etaireia; Fundacion Tecnalia Research & Innovation; Thales Six Gts France Sas; Montimage Eurl; European Organisation for Security; Metamind Innovations Ike; Pdm E Fc-Projecto Desenvolvimento Manutencao Formacao E Consultadoria S.A.; Search-Lab Biztonsagi Ertekelo Elemzo Es Kutato Laboratorium Korlatoltfelelossegu Tarsasag; Itti Sp Zoo; Frontendart Szoftver Kft
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