CORDIS · AIAS
AI-ASsisted cybersecurity platform empowering SMEs to defend against adversarial AI attacks
- Code
AIAS- Programme
- HORIZON
- Call
HORIZON-MSCA-2022-SE-01-01- Status
- SIGNED
- Period
- 2024-01-01 – 2027-12-31
Official data · CORDIS · synced 2026-10-17 10:16 · official record
Participants
| Organisations | Role | Country | Grant |
|---|---|---|---|
| UNIVERSITY OF PIRAEUS RESEARCH CENTER | coordinator | EL | 276 000 € |
| FOGUS INNOVATIONS & SERVICES P.C. | participant | EL | 230 000 € |
| CONSORZIO NAZIONALE INTERUNIVERSITARIO PER LE TELECOMUNICAZIONI (CNIT) | participant | IT | 207 000 € |
| UNIVERSIDAD DE MALAGA | participant | ES | 193 200 € |
| ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS | participant | EL | 161 000 € |
| BEIA CONSULT INTERNATIONAL SRL | participant | RO | 138 000 € |
| UNIVERSITAT POLITECNICA DE VALENCIA | participant | ES | 138 000 € |
| K3Y | participant | BG | 110 400 € |
| PDM E FC PROJECTO DESENVOLVIMENTO MANUTENCAO FORMACAO E CONSULTADORIA SA | participant | PT | 73 600 € |
| PDM ESPAÑA PROYECTOS Y SOLUCIONES INFORMATICAS SL | participant | ES | 36 800 € |
| SUITE5 DATA INTELLIGENCE SOLUTIONS LIMITED | participant | CY | 0 € |
Description
In recent years, the digital environment and digital transformation of enterprises of all sizes have made AI-based solutions vital to mission-critical. AI-based systems are used in every technical field, including smart cities, self-driving cars, autonomous ships, 5G/6G, and next-generation intrusion detection systems. The industry's significant exploitation of AI systems exposes early adopters to undiscovered vulnerabilities such as data corruption, model theft, and adversarial samples because of their lack of tactical and strategic capabilities to defend, identify, and respond to attacks on their AI-based systems. Adversaries have created a new attack surface to exploit AI-system vulnerabilities, targeting Machine Learning (ML) and Deep Learning (DL) systems to impair their functionality and performance. Adversarial AI is a new threat that might have serious effects in crucial areas like finance and healthcare, where AI is widely used. AIAS project aims to perform in-depth research on adversarial AI to design and develop an innovative AI-based security platform for the protection of AI systems and AI-based operations of organisations, relying on Adversarial AI defence methods (e.g., adversarial training, adversarial AI attack detection), deception mechanisms (e.g., high-interaction honeypots, digital twins, virtual personas) as well as on explainable AI solutions (XAI) that empower security teams to materialise the concept of “AI for Cybersecurity” (i.e., AI/ML-based tools to enhance the detection performance, defence and respond to attacks) and “Cybersecurity for AI” (i.e., protection of AI systems against adversarial AI attacks).
Official data · CORDIS · synced 2026-10-17 10:16 · official record · Licence: © European Union, CC BY 4.0 (Commission reuse policy).