Argo, SvenSvenArgoCorporaal, HenkHenkCorporaalGarza, AlejandroAlejandroGarzaGeilen, Marc Constantijn WillemMarc Constantijn WillemGeilenGomony, Manil DevManil DevGomonyGüneysu, TimTimGüneysuMarotzke, AdrianAdrianMarotzkeMir, Fouwad JamilFouwad JamilMirRichter-Brockmann, JanJanRichter-BrockmannSmith, JeffreyJeffreySmithTaouil, MottaqiallahMottaqiallahTaouilHamdioui, SaidSaidHamdioui2025-06-112025-06-112025-03Design, Automation and Test in Europe Conference, DATE 2025978-3-9826-7410-0https://hdl.handle.net/11420/55852Artificial Intelligence (AI) has had a profound impact on our contemporary society, and it is indisputable that it will continue to play a significant role in the future. To further enhance AI experience and performance, a transition from large-scale server applications towards AI-powered edge devices is inevitable. In fact, current projections indicate that the market for Smart Edge Processors (SEPs) will grow beyond 70 Billion USD by 2026 [1]. Such a shift comes with major challenges, as these devices have limited computing and energy resources yet need to be highly performant. Additionally, security mechanisms need to be implemented to protect against diverse attack vectors as attackers now have physical access to the device. Besides cryptographic keys, Intellectual Property (IP), including neural network weights, may also be potential targets. The CONVOLVE [2] project (currently in its intermediate stage) follows a holistic approach to address these challenges and establish the EU in a leading position in embedded, ultra-low-power and secure processors for edge computing. It encompasses novel hardware technologies, end-to-end integrated workflows, and a security-by-design approach. This paper highlights the security aspects of future edge-AI processors by illustrating challenges encountered in CONVOLVE, the solutions we pursue including some early results, and directions for future research.enCIM | composability | PQC | real-time | TEETechnology::600: TechnologyConference Paper10.23919/DATE64628.2025.10993210Conference Paper