Bart Stevens, Senior Director of Product Marketing for Security IP, discusses the security challenges of AI inference processing in both cloud-based data centers and edge devices. He emphasizes the need for robust security measures to protect valuable AI models and sensitive data across various deployment environments. He covers essential cryptographic principles, confidential computing, and key security mechanisms such as data at rest, in use, and in motion protection. Bart highlights the differences in security requirements between data centers and edge devices due to operational constraints and threat models.
At Rambus, we create cutting-edge semiconductor and IP products, providing industry-leading chips and silicon IP to make data faster and safer.
