cPAID – Newsletter #3
The third issue of the cPAID project newsletter is now available, covering the project’s progress during its first 18 months and the next steps towards integration and pilot validation.
During this period, cPAID moved from architectural planning and component-level design towards a more implementation-focused phase. The first versions of the project’s core components have been delivered, while work has also progressed on the five pilot use cases, integration and validation planning, exploitation, standardisation and community engagement.
Among others, the newsletter highlights:
- The first versions of key cPAID components, including MLPrivSecOps, GenAAI, Data Fabric, RIMA, mSIEM, AIPS and the adversarial AI cyber range
- Progress towards an operational system-level architecture, including component interconnections, data flows and control flows
- Further preparation of the five cPAID pilot use cases, covering electric vehicle battery monitoring, wildfire detection, remote AI-assisted medical devices, autonomous ships and security training
- The initial integration and validation framework, including pilot planning, KPI refinement and the first Red Team-Blue Team validation approach
- Progress in exploitation activities, including the identification of exploitable assets and the development of joint value propositions
- Growing standardisation and open-source engagement, including activities related to ETSI and IETF/IRTF groups
- Continued dissemination and community engagement through events, publications, media activities, webinars and hackathons
The next phase of cPAID will focus on bringing these developments together through integration, testing and validation in the project’s pilot environments, turning the work completed so far into practical evidence and results.
About cPAID
cPAID is an EU-funded project developing a cloud-based, platform-agnostic defence framework to protect AI applications and operations against malicious actions and adversarial attacks, including poisoning and evasion attacks. The project combines AI-based defence methods with security- and privacy-by-design, privacy-preserving technologies, explainable AI, Generative AI, risk and vulnerability assessment, and threat intelligence to support more secure and resilient AI systems.
Read the full newsletter on the cPAID website: https://cpaid.eu/wp-content/uploads/2026/07/cPAID-Newsletter-Vol03.pdf