Confidential computing provides privacy protection during the storage
process and provides end-to-end cloud data protections in combination with disc
and network encryption and proprietary encryption keys.
What is
Confidential Computing?
Confidential computing is a cloud-based system that isolates
confidential data during computation in a secure CPU enclave. The material of
the enclave – data processing and processing methods – is only available to a
permitted code, and inaccessible and unknown for everyone, even the cloud
provider.
Data protection in the cloud is important
because businesses increasingly rely on public and hybrid cloud providers. The
primary objective of secretive computing is to ensure businesses that their
data in the cloud is safe and confident and to promote the transfer of greater
sensitivities to public cloud providers with respect to their critical data and
computing workloads.
Cloud vendors have provided security
facilities for years for data protection at rest (in servers and databases) and
transit data (moving over a network connection). Data confidentiality risk is
eliminated from confidential computation by shielding data in usage — i.e.
during compilation and execution.
How
confidential computing works?
Before it can be processed by an application, data must be
unencrypted in memory. This leaves the data vulnerable just before, during, and
just after processing to memory dumps, root user compromises, and other
malicious exploits.
Confidential computing solves this problem
by leveraging a hardware-based trusted execution environment, or TEE, which is
a secure enclave within a CPU. The TEE is secured using embedded encryption
keys, and embedded attestation mechanisms that ensure the keys are accessible
to authorized application code only. If malware or other unauthorized code
attempts to access the keys – or if the authorized code is hacked or altered in
any way – the TEE denies access to the keys and cancels the computation.
Sensitive data will therefore be kept
secure in memory before TEE is informed by the program to decrypt it for
processing. The data is invisible to the operating system (or a virtual
hypervisor), other computer stack tools, and the vendor and its staff as it is
decrypted and during the entire computing phase.
Why use
confidential computing?
· To secure even during
usage confidential data and increase the advantages of cloud computing to
sensitive workloads. Used in conjunction with data encryption during the rest
and transit, confidential computing removes the biggest hurdle from an
inflexible and costly IT architecture in a more scalable and modern public
cloud platform to the mobility of critical or heavily controlled data sets and
application workloads.
·
For the Protection of
Intellectual property security. Confidential computing is not just for the
security of information. In the TEE, patented organization logic, analytical
features, machine learning algorithms or whole systems can be covered.
·
Working securely on
emerging cloud solutions for collaborators. For instance, one company may use
the patented equations of another company to merge its confidential information
with new solutions – without exchanging data or intellectual property.
·
Remove problems when
selecting cloud services. Confidential computing lets an organization choose a
cloud computing provider that meets the technological and business needs most
effectively, without caring about user information, proprietary technologies,
and other confidential properties.
·
To safeguard data on the
edge. Edge computer is a distributed computing environment that connects
business systems with sources of data, such as IoT devices or local edge
servers. As it is used to secure the data and operation of edge nodes of
sensitive computing as part of distributed cloud trends.
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