CoEvolution
A COMPREHENSIVE TRUSTWORTHY FRAMEWORK FOR CONNECTED MACHINE LEARNING AND SECURE INTERCONNECTED AI SOLUTIONS
The main objective is to focus on establishing a comprehensive security and risk assessment process for AI models throughout their lifecycle, ensuring security-by-design under various paradigms (single, collaborative, or interconnected AI agents). A Security, Trust, and Robustness (STR) Defense Framework will be developed to align with EU AI regulations, introducing the AI Model Bills of Material as a universal description structure. Context-aware mechanisms will enable AI models to adapt to evolving cybersecurity threats. The initiative aims to create a CoEvolution hub for secure AI supply chains, validated through complex pilots, and culminate in a sustainable business plan for widespread adoption.

Pilot 1
Securing the AI Supply Chain of Manufacturing Infrastructure

Pilot 2
Securing the AI Supply Chain in the Autonomous Vehicles Domain

Pilot 3

Pilot 4
Consortium














