CoEvolution: A comprehensive trustworthy framework for connected machine learning and secure interconnected AI solutions

CoEvolution: A comprehensive trustworthy framework for connected machine learning and secure interconnected AI solutions

Acronym: CoherentPaaS
Title: A comprehensive trustworthy framework for connected machine learning and secure interconnected AI solutions
Period: 1 November 2024 – 31 October 2027
Grant agreement no: 101168560
URL: https://coevolution-project.eu/

The AI landscape requires a comprehensive framework to address threats and vulnerabilities but lacks a system for managing weaknesses in the AI supply chain. The EU-funded CoEvolution project is developing an integrated security, trust, and robustness (STR) assessment solution that combines AI models with context awareness and an AI model bill of materials (AIMBOM). The project aims to establish a universal STR risk assessment and security assurance hub aligned with EU regulatory frameworks. This initiative introduces new AI model descriptions and security monitoring to ensure compliance with EU directives on trust, fairness, data governance, and GDPR guidelines. Open-source trusted datasets and AI models developed by CoEvolution will enhance the hub’s ability to address evolving AI cybersecurity threats.

Objectives
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.