Deploying intelligent systems at the edge presents a unique set of risks. These decentralized architectures operate with constrained resources and bandwidth, making them susceptible to a range of threats. From adversarial access to data compromises, safeguarding edge AI deployments requires a multifaceted approach that encompasses secure hardware,