Deploying intelligent systems at the edge presents a unique set of risks. These decentralized architectures operate with limited resources and infrastructure, making them exposed to a range of threats. From unauthorized access to data violations, safeguarding edge AI deployments requires a multifaceted approach that encompasses defensible hardware,