cPAID Successfully Completes Online Review Meeting

On Wednesday, 10 June 2026, the cPAID consortium successfully held its online review meeting, presenting the project’s progress, achievements and next steps to the Project Officer and external reviewers, Ana Ferreira and Dr. Oliver Schwabe.

The meeting provided an opportunity for the consortium to showcase the work carried out so far across the project’s technical, pilot, dissemination, standardisation and exploitation activities. Partners presented the progress made toward the development of cPAID’s cloud-based, platform-agnostic adversarial AI defence framework, designed to support the protection of AI applications and AI operations against malicious actions and adversarial attacks.

The reviewers expressed very positive feedback on the overall technological progress of the project and recognised the strong market potential of the solutions being developed, particularly as the project moves toward its final stages and pilot validation activities.

A key point highlighted during the discussion was the importance of maintaining close coordination and continuous synchronisation among partners. This will be essential for ensuring the successful implementation of the pilot use cases and for maximising the impact of the project’s results.

The review meeting also confirmed the solid progress achieved by the consortium during the first phase of the project. cPAID has already established its initial architecture and core components, creating a strong technological foundation for the next phase of work, which will focus on system integration, performance improvements and validation in real-world pilot environments.

The consortium would like to thank the Project Officer and the reviewers for their constructive feedback, valuable recommendations and positive assessment of the work performed so far.

As cPAID moves forward, the project will continue advancing its mission to support secure, robust, privacy-preserving and trustworthy AI systems against emerging adversarial threats.

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