Skip to main content

4 posts tagged with "White Paper"

View All Tags

The Linux Foundation, the nonprofit organization enabling mass innovation through open source, along with the Confidential Computing Consortium today released findings from a market study by Everest Group which shows the Confidential Computing market is projected to grow at a CAGR of 90%-95% to reach US$ 54 billion in 2026.

Source: Confidential Computing Consortium

Link: https://confidentialcomputing.io/wp-content/uploads/sites/85/2021/10/Everest_Group_-_Confidential_Computing_-_The_Next_Frontier_in_Data_Security_-_2021-10-19.pdf

91% of Enterprises say Confidential Computing Improves Innovation. Securing third-party data has never been more critical for enterprises around the world. With rising cybersecurity concerns, a business’s ability to innovate and grow successfully can be tied closely to its ability to safeguard confidential data and meet legal mandates like GDPR. Arm and Pulse surveyed 250 enterprise IT, engineering, and security executives to find out how they’re protecting third-party data today, what their confidence is in current processes, and how they think confidential computing could improve their security position.

Source: Arm / Pulse

Link: https://armkeil.blob.core.windows.net/developer/Files/pdf/graphics-and-multimedia/confidential-computing-pulse-survey.pdf

Today, data is often encrypted at rest in storage and in transit across the network, but not while in use in memory. Additionality, the ability to protect data and code while it is in use is limited in conventional computing infrastructure. Organizations that handle sensitive data such as Personally Identifiable Information (PII), financial data, or health information need to mitigate threats that target the confidentiality and integrity of either the application or the data in system memory.

Source: Confidential Computing Consortium

Link: https://confidentialcomputing.io/wp-content/uploads/sites/85/2021/03/confidentialcomputing_outreach_whitepaper-8-5x11-1.pdf

In classical computing, data exists in three states: in transit, at rest, and in use. Data traversing the network is “in transit,” data in storage is “at rest,” and data being processed is “in use.” In a world where we are constantly storing, consuming, and sharing sensitive data – from credit card data to medical records, from firewall configurations to our geolocation data – protecting sensitive data in all of its states is more critical than ever.

Source: Confidential Computing Consortium

Link: https://confidentialcomputing.io/wp-content/uploads/sites/85/2022/01/CCC-A-Technical-Analysis-of-Confidential-Computing-v1.2.pdf