Objective
The contemporary AI landscape demands a holistic framework ensuring security across the supply chain and entire AI lifecycle. Despite existing adversarial attack techniques, a comprehensive end-to-end flow for identifying threats and vulnerabilities with associated risks is lacking. The EU, through initiatives like the AI Act, emphasizes safety and trustworthiness in AI applications but lacks a system managing weaknesses in a networked AI-supply chain. The CoEvolution project integrates its architecture components to create an end-to-end Security, Trust, and Robustness (STR) assessment solution, generating context-aware AI models characterized by their AI Model Bill of Materials (AIMBOM). The goal is a universal hub providing a coherent STR risk assessment and security assurance flow, aligning with MLDevOps and EU AI regulatory frameworks. The paradigm includes novel AI model descriptions, AIMBOM management, security monitoring, and context awareness. CoEvolution introduces a new STR paradigm based on Bills-of-Materials, offering a unified approach to describing AI models in supply chains, ensuring STR compliance with EU directives on trust, fairness, data governance, and GDPR guidelines. Open source trusted datasets and CoEvolution-developed AI models enhance the hub's capabilities, aiming for a robust, adaptable risk analysis and security assessment framework aligned with evolving AI cybersecurity threats.
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Keywords
Programme(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
106 82 ATHINA
Greece
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Participants (13)
151 25 Maroussi
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09124 Cagliari
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91120 Palaiseau
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80333 Munchen
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38106 Braunschweig
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
28050 MADRID
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56126 Pisa
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69190 Walldorf
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T12 W7CV CORK
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
8020 Graz
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265 00 PATRA ACHAIA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
714 14 GAZI
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2362 Nicosia
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partners (1)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
6300 ZUG
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