AI chip demonstrators for EU compute infrastructure
The expected outcomes of this topic are : • Functional demonstrators of working AI chip prototypes (PCB-level) designed by EU fabless companies and physically integrated …
Digital Europe Programme · Europäische Union
Offen
Das EU-Programm Digital Europe Programme plant 3 Förderungen mit 3 Mio. € – 5 Mio. € pro Projekt bei einem Gesamtbudget von 10 Mio. €. Die Einreichungsfrist endet am 14. Januar 2027 (EU-Ausschreibungen enden meist um 17:00 Uhr Brüsseler Zeit).
Offizielle Ausschreibung öffnen ↗ Frist zum Kalender hinzufügen
Die offiziellen Beschreibungen sind in der Sprache des Fördergebers (meist Englisch); Zusammenfassung und Eckdaten auf dieser Seite sind auf Deutsch.
• Secure Data Sharing Framework: Develop standardised and encrypted communication mechanisms to facilitate seamless data exchange between civilian and military stakeholders. These mechanisms should align with GDPR and other EU regulatory requirements.
• Early Warning Systems (EWS): Establish a European-level EWS for cyber and hybrid threats. These systems should integrate real-time monitoring tools and predictive analytics to pre-emptively identify and neutralise cyber and hybrid threats targeting critical infrastructure.
• Collaborative Training Programmes: Design joint training programmes that incorporate AI and cybersecurity scenarios for both civilian (including law enforcement) and military personnel. These programmes should address sector specific needs and hybrid threat scenarios.
• Integrated Threat Detection Systems: Deploy unified threat detection systems leveraging AI, ZTA, and Digital Twins for cross-sectoral application, targeting current and emerging cyber and hybrid threats.
• Cross-Sector Security Standards: Develop harmonised cybersecurity standards for dual-use technologies to ensure interoperability and scalability across EU Member States and propose EU-wide frameworks for harmonising cybersecurity standards, ensuring seamless integration of civilian and military technologies.
• Stakeholder Collaboration and Integration: Facilitate partnerships among diverse stakeholders, including national authorities, SMEs, academia, and industry stakeholders to foster innovation and deployment of dual-use solutions.
Objective:
Dual-use technologies have emerged as a cornerstone in addressing both cybersecurity threats and broader cyber defence needs. The integration of advanced civilian and military technologies under a unified framework is critical to bolstering resilience across critical infrastructure, ensuring data security. In addition, addressing cybercrime and hybrid threats will contribute to maintaining societal stability.
Cross fertilisation and spill-over effects from synergies between the civil and defence spheres have proven to be an important driver for innovation, industrial deployment and market uptake. Such effects should also be fostered for cybersecurity and cyber defence. The results could lead to increased resilience to cyber threats and better protection of both civilian and defence critical infrastructures.
Building on Digital Europe Programme, Horizon Europe, and the European Defence Fund, the EU must prioritise collaborative…
The objective is to enhance operational cooperation between the civil and defence spheres through the development of dual-use working prototypes, ready-to-market products and operational infrastructures related to cybersecurity technologies, applications and tools that have relevance in both civilian and defence context.
Examples of domains of interest for this call topic are:
• Quantum-Safe Cryptography: Develop encryption methods resistant to quantum computing attacks. These solutions will ensure secure communication and data protection for critical civilian and military infrastructures.
• Zero Trust Architectures (ZTA): Implement ZTA frameworks to enhance endpoint security and prevent unauthorised access to critical systems. These architectures can serve both civilian applications (e.g. healthcare, finance) and defence systems.
• AI-Driven Threat Detection and Response: Deploy advanced AI tools for real-time threat detection, mitigation and response. AI can be leveraged for anomaly detection in critical networks, adaptive defence mechanisms, and predictive risk assessments. AI-driven threat detection systems can enhance the ability of stakeholders, including Law Enforcement Authorities, to analyse large datasets and identify patterns of malicious activity. These systems also enable real-time prioritisation of actionable intelligence and can support investigations across sectors. Ethical considerations, including compliance with the GDPR and AI Act, must guide their deployment.
• Cyber Ranges including Digital Twins for Cybersecurity: Use Cyber Ranges solutions and Digital Twin technology to simulate potential cyberattacks on civilian and military systems and networks. This enables proactive identification of vulnerabilities and the development of effective response strategies. This would enhance the capacities of a wide range of stakeholders, including Law Enforcement Authorities.
• Advanced SOAR Tools: Develop Security Orchestration, Automation, and Response (SOAR) platforms to streamline incident response across sectors.
Other cybersecurity domains where the civil and defence spheres have a common interest in developing working systems together will also fall within the scope of this call topic.
The above domains are expected to be demonstrated and deployed for (but not limited to):
• Critical Infrastructure Protection: For example, deploy dual-use AI-driven tools to monitor and secure critical infrastructures such as undersea critical infrastructure, transportation networks, communication networks, energy grids, and healthcare systems against cyber and physical threats.
• Secure Communications: For example, utilise quantum-safe communication protocols to protect sensitive data exchanges between civilian and defence stakeholders.
• Hybrid Threat Management: For example, design systems capable of countering hybrid threats, such as GPS jamming and spoofing, cable sabotage, ransomware attacks combined with disinformation campaigns, ensuring…
Artificial intelligence Artificial intelligence, intelligent systems, multi agent systems Cybersecurity Cybersecurity Domains Defence Digital twins Quantum Technologies (e.g. computing and communication) AI-driven threat detection Civil-Military cooperation Civil-defence cooperation Cross-sector security standards Digital forensics Dual-use technologies Early Warning System Encryption Endpoint security Hybrid threat management Integrated threat detection Quantum-safe communication Quantum-safe cryptography
Single-stage call. Next deadline 2027-01-14. The portal states the exact cut-off time (EU calls usually close at 17:00 Brussels time).
EU-Leitfaden zur Antragstellung lesen
Offizielle Ausschreibungsseite
Die Angaben auf dieser Seite stammen aus der offiziellen Quelle und wurden zuletzt am 14. November 2026 geprüft. Maßgeblich sind immer die Unterlagen des Fördergebers einschließlich späterer Änderungen.
The expected outcomes of this topic are : • Functional demonstrators of working AI chip prototypes (PCB-level) designed by EU fabless companies and physically integrated …
The expected outcomes of this topic are : • A common EU evaluation platform for AI chips and racks, with transparent KPIs, workloads and benchmark reports used for Chips …
Projects are expected to contribute to the following expected outcomes: • Advanced heterogeneous integration, particularly in 2.5D and 3D packaging and integrated photoni…
The types of deliverables are presented in two parts. The first part covers: • Enhanced cooperation, preparedness and cybersecurity resilience in the EU; preparedness sup…
• Deployment of Artificial Intelligence and various AI-powered technologies as enablers for Cyber Hubs, CSIRTs, NCSCs, NIS SPOCs and others. • Novel cybersecurity tools b…