Confidential Computing Membership Grows 60 Percent

  • Jun 30, 2020

The Confidential Computing Consortium, a Linux Foundation project and community dedicated to defining and accelerating the adoption of confidential computing, has announced Accenture, AMD, Anjuna, Anqlave, Cosmian, Facebook, iExec, IoTeX, Mellanox, NVIDIA, Oracle and R3 have joined as members of the Confidential Computing Consortium to contribute to the adoption of Confidential Computing.

“In the past five months, we’ve added ten new members including the largest social network, a preeminent consultancy, a leading semiconductor manufacturer, and pioneer in graphics processing,” said Stephen Walli, governing board chair, Confidential Computing Consortium. “This is a brilliant group of innovative companies that has come together to solve one of the key challenges in information security; protecting applications and data while in use.”

Today, data is often encrypted at rest in storage and in transit across the network, but not while in use in memory. Additionally, the ability to protect data and code 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 the applications and data in system memory.

Confidential Computing protects data in use by performing computation in a hardware-based Trusted Execution Environment. These secure and isolated environments prevent unauthorized access or modification of applications and data while in use, thereby increasing the security assurances for organizations that manage sensitive and regulated data. Confidential Computing protects applications and data from breaches, malicious actors and insider threats, while providing the portability to move sensitive workloads between on-premises data centers, public cloud and the edge.

While confidential computing can protect many types of applications and data, confidential computing technology provides a secure platform for multiple parties to combine, analyze and learn from sensitive data without exposing the data or machine learning algorithms to the other party. Often referred to as multi-party computing, federated learning or privacy-preserving analytics, confidential computing can unlock the power of sensitive data by enabling collaboration while preserving privacy and compliance.

Founding members of the Confidential Computing Consortium include Alibaba, Arm, Google Cloud, Baidu, ByteDance, decentriq, Fortanix, Intel, Kindite, Microsoft, Oasis Labs, Oracle, Red Hat, Swisscom, Tencent and VMware.

Featured

  • The Next Generation

    Video security technology has reached an inflection point. With advancements in cloud infrastructure and internet bandwidth, hybrid cloud solutions can now deliver new capabilities and business opportunities for security professionals and their customers. Read Now

  • Help Your Customer Protect Themselves

    In the world of IT, insider threats are on a steep upward trajectory. The cost of these threats - including negligent and malicious employees that may steal authorized users’ credentials, rose from $8.3 million in 2018 to $16.2 million in 2023. Insider threats towards physical infrastructures often bleed into the realm of cybersecurity; for instance, consider an unauthorized user breaching a physical data center and plugging in a laptop to download and steal sensitive digital information. Read Now

  • Enhanced Situation Awareness

    Did someone break into the building? Maybe it is just an employee pulling an all-nighter. Or is it an actual perpetrator? Audio analytics, available in many AI-enabled cameras, can add context to what operators see on the screen, helping them validate assumptions. If a glass-break detection alert is received moments before seeing a person on camera, the added situational awareness makes the event more actionable. Read Now

  • Transformative Advances

    Over the past decade, machine learning has enabled transformative advances in physical security technology. We have seen some amazing progress in using machine learning algorithms to train computers to assess and improve computational processes. Although such tools are helpful for security and operations, machines are still far from being capable of thinking or acting like humans. They do, however, offer unique opportunities for teams to enhance security and productivity. Read Now

Most   Popular

Featured Cybersecurity

New Products

  • QCS7230 System-on-Chip (SoC)

    QCS7230 System-on-Chip (SoC)

    The latest Qualcomm® Vision Intelligence Platform offers next-generation smart camera IoT solutions to improve safety and security across enterprises, cities and spaces. The Vision Intelligence Platform was expanded in March 2022 with the introduction of the QCS7230 System-on-Chip (SoC), which delivers superior artificial intelligence (AI) inferencing at the edge. 3

  • Compact IP Video Intercom

    Viking’s X-205 Series of intercoms provide HD IP video and two-way voice communication - all wrapped up in an attractive compact chassis. 3

  • PE80 Series

    PE80 Series by SARGENT / ED4000/PED5000 Series by Corbin Russwin

    ASSA ABLOY, a global leader in access solutions, has announced the launch of two next generation exit devices from long-standing leaders in the premium exit device market: the PE80 Series by SARGENT and the PED4000/PED5000 Series by Corbin Russwin. These new exit devices boast industry-first features that are specifically designed to provide enhanced safety, security and convenience, setting new standards for exit solutions. The SARGENT PE80 and Corbin Russwin PED4000/PED5000 Series exit devices are engineered to meet the ever-evolving needs of modern buildings. Featuring the high strength, security and durability that ASSA ABLOY is known for, the new exit devices deliver several innovative, industry-first features in addition to elegant design finishes for every opening. 3