CyberNEMO partners (Synelixis and Maggioli) attended the webinar on Privacy-Enhancing Technologies for Information Security in Edge-Cloud Applications, organized by CEI-Sphere and Large Scale Pilots O-CEI and COP-Pilot.

The webinar explored the growing challenge of securely sharing and processing data across distributed environments, from industrial platforms to smart infrastructures, where large numbers of devices, man-in-the-middle threats, and purpose limitation requirements create complex security landscapes. Protecting sensitive data today goes well beyond personal data as business data sovereignty is equally at stake.

Presentations from Fraunhofer ISST and insights from the O-CEI and COP-PILOT Large-Scale Pilots highlighted how technologies such as Federated Machine Learning (FML), Trusted Execution Environments, Homomorphic Encryption, and Zero-Knowledge Proofs can be embedded directly into system design. The “black sheep problem” in FML, identifying and mitigating malicious or corrupted participants in federated learning, is a as a shared concern directly relevant to CyberNEMO’s work on ZT-FML.

CyberNEMO identified synergies in two areas a) the Zero-Trust Federated Machine Learning (ZT-FML) and b) the use of LLMs and MCP-based architectures for privacy-aware decision support functionality.