Imagine your AI is like a high-tech vault; it doesn't matter how strong the door is if the walls are thin or the key is stolen. This work builds a complete security system that checks everything from the physical chips to the code and the data used for training. It's like having a 24/7 security guard and a rigorous stress-test for your AI to make sure it can't be tricked or hacked.
AI systems are becoming primary targets for hackers because they are complex and handle valuable data. Current security often ignores the link between the physical hardware and the AI software, leaving gaps for data poisoning and backdoors.
A suite of security tools including risk assessment methods, secure design patterns, vulnerability scanners for supply chains, a virtual attack/defense testing platform, and AI-powered firewalls.
If you are a machinery manufacturer dealing with safety risks in cutting machines — this project developed automated testing and monitoring tools that prevent malicious interference with AI-driven blades.
If you are a medical device company dealing with data privacy in eye-tracking communication systems — this project developed secure design patterns that protect sensitive patient data from leaks.
If you are a delivery service dealing with remote hijacking of last-mile vehicles — this project developed AI firewalls and hardware hardening that keep the vehicle under secure control.
Based on available project data, specific pricing is not mentioned as the project is currently in the development and demonstration phase.
Yes, the project tests its tools in 3 real-world scenarios across agrifood, health, and automotive sectors to ensure the solutions can be transferred to various industries.
The project aims to share and commercialize methods and tools to ensure trustworthy AI components, though specific license terms are not listed.
Yes, the tools are designed to align with the EU AI Act, CRA, NIS2, and CSA regulations.
The project runs from 2025-11-01 to 2029-04-30, suggesting a phased rollout of tools over this period.
The project is heavily industry-driven, with 11 out of 16 partners coming from the private sector (a 69% ratio). This high concentration of companies, including 7 SMEs across 5 countries, indicates a strong focus on commercial viability and practical application rather than purely academic research.
Contact IKERLAN S. COOP in Spain for partnership inquiries.
Contact us to connect with the SHASAI consortium for early adoption of AI security tools.
