Intel had 221 patents in cybersecurity during Q1 2024. Intel Corp’s Q1 2024 patents focus on trusted local memory management in virtualized GPUs, secure data record hashing, adding non-native nodes to clusters securely, enabling cyber-physical protections in edge computing platforms, and improving search operations with encrypted queries. GlobalData’s report on Intel gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Intel grant share with cybersecurity as a theme is 50% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Trusted local memory management in a virtualized gpu (Patent ID: US20240104226A1)
The patent filed by Intel Corp. focuses on trusted local memory management in a virtualized GPU. The apparatus includes processors with a trusted execution environment (TEE), a GPU with a trusted agent, and memory with GPU local memory. The trusted agent ensures proper allocation/deallocation of local memory and verifies translations between graphics physical addresses (PAs) and PAs for the apparatus. The local memory is partitioned into protection regions, including a protected region storing a memory permission table maintained by the trusted agent, a per process graphics translation table, and a local memory translation table.
The claims of the patent detail the implementation of access control for local memory in the graphics processor, ensuring security for workloads present in the memory. The memory permission table maintained by the trusted agent indicates the owner of each physical page in the local memory assigned to a virtual function. The system includes runtime checks to prevent untrusted host system software from accessing local memory allocated to trusted domains, with the memory permission table being invalidated when a physical page is deallocated. The method involves establishing and maintaining the memory permission table for local memory, performing access control based on the memory access table, and ensuring that local memory allocated to trusted domains is not accessed by untrusted software.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
