Deploying AI at the edge: The security trade-offs and how to manage them
Deploying AI at the edge brings advantages such as low latency, improved efficiency, and real-time decision-making. It also introduces new attack surfaces. Adversaries could intercept models in transit, manipulate inputs to degrade performance, or even… Continue reading Deploying AI at the edge: The security trade-offs and how to manage them