With the rising value of AI/ML spanning training and inference models and data, as well as 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.
In this webinar, you'll learn:
- Security strategy for AI/ML workloads
- Use cases and implementation of hardware root of trust
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