Enabling security from the data center to the PC
AI is transforming industries, automating tasks, improving decision-making and enhancing the development of new products and services, many of which involve highly sensitive data. This expansion also means more opportunities for threats to data security.
Confidential computing protects data while it is being processed in the CPU, is a critical component of data security and AMD Confidential AI.
Hear more about AI data and workload protection from Mark Papermaster, Executive Vice President and Chief Technology Officer at AMD.
A key challenge when securing AI is expanding protections and confidentiality from just the CPU to also include data storage, networking devices, and AI accelerators during all phases of AI training and inference. This requires a collaborative infrastructure ecosystem that shares a common security protocol or trusted I/O. TEE Device Interface Security Protocol (TDISP) is an open security protocol developed by PCI-SIG members, including AMD.
There are many more aspects to data security than just confidential computing. The explosion of data means a heightened need for security in the data center and every PC is an access point to a company’s network and its data. AMD technologies are designed with security in mind to be resistant to today’s sophisticated attacks.
