CyberAid strengthens European financial resilience by using agentic AI to autonomously orchestrate LLMs, eBPF monitoring, and quantum-resistant cryptography. The platform automates the full security lifecycle, ensuring 100% compliance with DORA and NIS2 mandates while empowering smaller institutions with enterprise-grade defense. This unified approach reduces threat detection times and bolsters EU technological sovereignty.

CyberAId will significantly enhance the cyber-resilience of European Critical Infrastructures (CIs) based on the development and deployment of a novel agentic Artificial Intelligence (AI) infrastructure that will be used to intelligently coordinate and orchestrate a pool of state-of-the-art cybersecurity tools and services that address the secure deployment and operation of key digital technologies. The CyberAId infrastructure and tools will leverage cutting edge digital and cybersecurity technologies (i.e. Generative AI, Large Language Models (LLMs), Quantum security) in order to address the entire cyber-resilience lifecycle of financial CI assets and process including incidents and attacks’ prediction, monitoring, reporting and response. At the same time, the agentic AI-based orchestration of CyberAId’s cybersecurity capabilities will enable the project to address common and emerging cybersecurity challenges for European CIs in an integrated, coordinated, scalable and intelligent way that is nowadays hardly possible. In particular, the project will develop, demonstrate, validate and promote the concept of intelligent orchestration of diverse cybersecurity functionalities (e.g., vulnerability assessment, pentesting and cybersecurity simulations, threat correlation, cybersecurity patterns monitoring) as LLM-based “cybersecurity agents”, which will scientifically boost the scalability and the intelligence of cybersecurity for European CIs. The added-value of CyberAId approach stems both from the development of innovative cybersecurity technologies and from their scalable and intelligent orchestration by means of an AI/LLM-based infrastructure.

The project will develop and validate its AI infrastructure and cybersecurity technologies in the scope of use cases and CIs of the financial sector, yet the project results will be engineered in order to be broadly applicable to more industrial sectors.