With the rising value of AI/ML spanning training and inference models, data, and the AI hardware itself, the threats from adversaries are greater than ever. As such, a security strategy for AI/ML workloads and hardware needs to offer far more than secure boot and authentication. Rambus security expert, Bart Stevens will discuss how a hardware root of trust can be the foundation for AI/ML security through defense in depth, partitioning of secure operations, and state-of-the-art protections from side channel attacks.
At Rambus, we create cutting-edge semiconductor and IP products, providing industry-leading chips and silicon IP to make data faster and safer.
