Imagine building a complex machine using parts from ten different suppliers; you need to be sure no single part has a hidden flaw that lets a hacker in. This project creates an automated 'security inspector' using AI to check every piece and how they fit together. It's like having a digital stress-test lab that finds weaknesses before the product ever reaches the customer.
Companies struggle to secure complex systems that rely on third-party hardware and software, especially with the rise of GenAI threats. The pressure for fast time-to-market often leads to overlooked vulnerabilities in the supply chain.
An AI-based security service toolbox and virtual environments for automated security assessment of system components.
If you are an EV manufacturer dealing with third-party software for infotainment and battery management — this project developed AI-based security services that identify risks in the supply chain. This ensures that integrating external components doesn't open doors for cyber-attacks.
If you are an equipment provider dealing with the integration of edge and cloud components — this project developed virtual secure environments for automated assessment. This allows you to test AI components and their integration without risking physical hardware.
If you are a grid operator dealing with evolving hybrid threats and GenAI-driven attacks — this project developed a toolbox of security services for continuous assurance. This helps maintain a robust digital infrastructure capable of resisting modern cyber-attacks.
Based on available project data, specific pricing or cost structures are not provided as the project is in the research and development phase.
The project aims to support the computing continuum, including Edge and Cloud, suggesting a design intended for industrial-scale application across diverse environments.
Based on available project data, the specific licensing terms are not listed, though it involves a consortium of 19 partners including 12 industry players.
Yes, the project specifically implements evolving EC security and privacy regulations as well as the strategy for human-centric AI.
The project period runs from 2025-12-01 to 2028-11-30, indicating that final tools will be developed by late 2028.
The project is heavily industry-driven with a 63% industry ratio, comprising 12 companies and 8 SMEs across 10 countries. This strong commercial presence, led by SINTEF AS and supported by only 2 universities, suggests the output is intended for direct commercial application rather than pure academic study.
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Contact us to track the development of these AI security tools for your supply chain.
