aias-project

As one of Italy’s leading research institutions, CNIT (Consorzio Nazionale Interuniversitario per le Telecomunicazioni) plays a key role in AI-driven cybersecurity research, bringing expertise in adversarial AI attack generation, complexity and cryptography, and AI-based defense mechanisms. Within AIAS, CNIT leads the development of AI-powered attack tools, security assessments, and cybersecurity innovations to enhance AI security.

As a key partner in the AIAS project, BEIA CONSULT INTERNATIONAL SRL brings extensive expertise in AI-driven cybersecurity solutions, IoT security, and adversarial AI detection. With a strong presence in EU-funded research, BEIA plays a vital role in the definition of business cases, AI-based attack detection, system integration, and standardization efforts. Key Contributions: 🔹 Defining

As a key partner in the AIAS project, FOGUS plays a crucial role in system integration, deception mechanisms, and cybersecurity innovation. With extensive expertise in vulnerability detection, network simulation, and emulation, FOGUS is actively involved in multiple work packages to ensure the robustness and effectiveness of the AIAS platform. Key Contributions: 🔹 System Integration &

While June is here and the thought of summer vacations is on everyone’s mind, the AIAS team remains fully engaged and closely monitoring the latest groundbreaking developments in the field of Artificial Intelligence. The AI landscape is evolving rapidly, with major tech players unveiling transformative innovations that are shaping the future of AI-powered systems. Two

With the arrival of Ignacio Lacalle Úbeda at FOGUS for his secondment, it’s a great moment to spotlight the vital role of the Universitat Politècnica de València (UPV) in the AIAS project. Through its Distributed Real-Time Systems Lab (DRTSL), UPV brings deep technical expertise in cybersecurity, distributed AI, blockchain, and workload orchestration, making it a

Following our recent updates on Adversarial AI attack generation, the AIAS consortium is excited to continue informing the public about our work and unveil our cutting-edge research on Detection and Mitigation Techniques against adversarial AI threats. Current State-of-the-Art (SotA): AI-based methods have proven highly effective in detecting traditional cyberattacks, with techniques such as Support Vector