Thales, present in 68 countries and employing more than 81,000 people, is a global leader in advanced technologies across aerospace, aeronautics, defence, digital security, cybersecurity, and biometrics. Thales has become a key multinational player in protecting citizens, strengthening state resilience, and enabling business success. Its main areas of expertise include:
- Aerospace / Aeronautics: Thales provides advanced avionics solutions, as well as in-flight entertainment and connectivity systems for both civil and military aviation—enhancing safety, efficiency, and the onboard experience.
- Defense: Thales is a major industry player, delivering radars, sonars, and optronics for land, air, and naval forces, along with secure communications, cybersecurity, and ISR capabilities (intelligence, surveillance, and reconnaissance).
- Digital Security and Identity: Thales is a pioneer in digital identity and security, offering solutions for secure transactions, identity management, and data protection. Its technologies are used in finance, healthcare, and public administration to ensure the integrity and confidentiality of sensitive data.
CortAIx Labs is a cutting-edge R&D organization dedicated to advancing AI, machine learning, and data science technologies. Its expertise includes AI for defence and security, large-scale data processing, cybersecurity, robotics, and autonomous systems. The CyberNemo project brings together contributors from two of its laboratories.
The first is the VAR laboratory – Vision, Autonomy and Robotics, which develops AI algorithms and multi-agent simulation capabilities for enhanced perception and the autonomy of robotic systems. The second is the cybersecurity laboratory at CortAIx Labs, which focuses on AI security. AI Friendly Hacker is a program dedicated to AI security, covering both offensive and defensive aspects, including robustness, privacy, and intellectual property protection.
Our major contribution to the CyberNemo project is the integration of our open-source component Pybiscus, which enables secure collaborative learning. Thanks to the collaboration with our various partners, we use this component to train AI models to detect anomalies in cybersecurity tasks across the different scenarios addressed by the project.


